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Science is a lot like sex. Sometimes something useful comes of it, but that's not the reason we're doing it. --Richard Feynman- Welcome to the weblog of Björn Brembs, the owner of brembs.net. I'm a biologist with a wide variety of other scientific and non-scientific interests.
Björn Brembs
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by Björn Brembs in bjoern.brembs.blog
“very absent-minded persons in going in their bedroom to dress for dinner have been known to take off one garment after another and finally to get into bed, merely because that was the habitual issue of the first few movements when performed at a late hour”William James, 1890It is difficult to kick a habit. Like riding a bike – once automated, some behaviors can stay with us for a lifetime. Life-long memories are a familiar trait. After all, they define who we are. We can recall important events in our lives in sometimes astounding clarity and detail. In the last 40 years, neuroscience has made great progress in understanding how the brain accomplishes this amazing feat. Sometimes after a single exposure to a salient stimulus, synapses in the brain can permanently alter their properties to encode complex, vivid memories. If synaptic plasticity is so fast, why does it take practice to learn how to ride a bike, why repetition to form a habit?The ultimate, evolutionary causes for the need to practice our skills are obvious. Skills and habits convey an enormous benefit as they free up processing power and allow us to efficiently carry out often-used behaviors with little effort. The repetition required to automate these behavior buys us time to pick the best sequence of movements to do the task. Without the need for practice, we may be stuck with whatever movements we used when we first tried to master the skill, often unsuccessfully. There must have been strong selection pressure on the neurobiological mechanisms (the proximate causes) which would allow for rehearsal time before behavioral memory was actually consolidated. One could think of any number of mechanisms which would slow down memory formation, from inefficiencies or delays in the intracellular processes altering synaptic transmission to initially weak reinforcement signals, scaling with the increasing success of the behavior. Yet, evidence from our ow experiments with the fruit fly Drosophila points to a different mechanism, namely dynamic interactions between multiple memory systems. We founsd that the memory system responsible for habit formation is temporarily blocked by the memory system dealing with learning about our environment. Interestingly, switching off a part of the fly brain called the mushroom-bodies halved the amount of practice required to form habits, suggesting that the mushroom-bodies are involved in this blockage (as they are not directly involved in memory storage, they most likely mediate the interaction coming from the environment-memory storage system).Now, almost simultaneously, two groups have published research that another treatment, stress, can lead to rapid habit formation in rats and humans as well. In almost identical experiments, the subjects were either stressed or not during operant conditioning experiments. In these experiments, the subjects had to perform two actions for two different kinds of food. After training, one of the two kinds of food was given to the subjects until they were sated. This feeding to satiation is the critical part of the experiment. Imagine you would like to eat a treat and a machine would make you work for salty or sweet treats. Obviously, when you've had as much sweets as you wanted, you'd work harder to get the salty treat than the sweet treat. What research into habit formation has shown, is that this specific reduction after devaluation no longer occurs when the training has taken place long enough to form a habit. Both animals and humans then just keep working the machine to get noth treats in equal number. Just placing the animals/people in front of the machine makes them follow their habit, similarly to the absent-minded people in former times who got undressed and went to bed, just because they were in their bedroom at a late hour. These two studies now showed that the two groups (stressed and unstressed) differed in their specific reduction after devaluation: the stressed groups behaved as if they had been trained for much longer and habitually worked the machine equally hard for both treats, even after relatively short training.One of the authors of the study is my esteemed colleague Rui Costa, who I'm currently writing a grant for organizing a conference on actions and habits with. In a recent article in The Scientist he said: It's not that they are stupid and don't understand that there is a difference. It's just that when given a choice, they will do the automatic thing. In fact, these stress-induced changes seem almost adaptive. When we are under chronic stress, it could be advantageous to use habitual strategies because [it reduces] the amount of cognitive resources that you need. Thus, Rui also emphasizes the adaptive value of habits, to reduce cognitive load and allow the brain to focus on the more pressing issues and not how to best execute a behavior. The amount of training required to form a habit is flexible and reflects the trade-off between behaving flexible and behaving efficiently. If need be, we can form habits just as fast as we can learn facts, faces or events. (see also PhysOrg)In a more colloquial formulation of the flexibility/efficiency (or exploration/exploitation) dilemma, one could say that habit is the enemy of creativity. It was German ethologist Konrad Lorenz who postulated that creativity requires a so-called "relaxed field" in which no stressors apply. Now, about three decades later, the biological experiments are being initiated to find out how the brain operates to give rise to this requirement.Creativity is also a necessary prerequisite for doing innovative science. This means that stress is the enemy of good science. In our publish-or-perish culture with it limited contracts and constant fear of joblessness and failure, I wonder how many excellent scientists fall by the wayside, because they were never able to fulfill their full potential? Does this research argue for small, managable research groups in which there is a lot of time for interaction, free-thinking and relaxed brain-storming, rather than large, high-throuput labs in which everybody is just a cog in a large machinery producing scientific data, rather than doing science? Could this sort of research help us design the environment which maximizes on the brain capital of the individual scientists? Or will it just eventually lead to a treatment which enhances the blockade of habit formation, extending it indefinitely, no matter how stressful your life is, such that you will become for ever creative?Schwabe, L., & Wolf, O. (2009). Stress Prompts Habit Behavior in Humans Journal of Neuroscience, 29 (22), 7191-7198 DOI: 10.1523/JNEUROSCI.0979-09.2009Dias-Ferreira, E., Sousa, J., Melo, I., Morgado, P., Mesquita, A., Cerqueira, J., Costa, R., & Sousa, N. (2009). Chronic Stress Causes Frontostriatal Reorganization and Affects Decision-Making Science, 325 (5940), 621-625 DOI: 10.1126/science.1171203... Read more »
Schwabe, L., & Wolf, O. (2009) Stress Prompts Habit Behavior in Humans. Journal of Neuroscience, 29(22), 7191-7198. DOI: 10.1523/JNEUROSCI.0979-09.2009
Dias-Ferreira, E., Sousa, J., Melo, I., Morgado, P., Mesquita, A., Cerqueira, J., Costa, R., & Sousa, N. (2009) Chronic Stress Causes Frontostriatal Reorganization and Affects Decision-Making. Science, 325(5940), 621-625. DOI: 10.1126/science.1171203
Brembs, B. (2009) Mushroom Bodies Regulate Habit Formation in Drosophila. Current Biology. DOI: 10.1016/j.cub.2009.06.014
by Björn Brembs in bjoern.brembs.blog
The most well-known molecular mechanism of learning involves coincidence detection. In post-synaptic LTP, the NMDA receptor only opens fully if a postsynaptic depolarization has removed the magnesium block by the time glutamate arrives at the receptor. In pre-synaptic facilitation, adenylyl cycase only generates large amounts of cAMP when stimulated both by transmitter and by coincident Ca2+ influx. Thus, in both cases, you need neural activity (i.e., action potentials or spikes) to coincide onto the synapse in question. Insect learning, specifically clasical olfactory conditioning, has been instrumental in developing this model of "spike timing-dependent plasticity" (STDP). For delay conditioning in which the conditioned stimulus (CS) overlaps with the unconditioned stimulus (US), this is not a problem: the spikes of the CS are still arriving at the convergence point when the spikes from the US start to come in. However, in trace conditioning, when there is a delay between the end of the CS and the onset of th US (of up to 24h in the case of conditioned taste aversion), it is difficult to imagine how the well-known mechanisms of STDP could occur. What happens during the interval between CS offset and US onset for trace conditioning to occur?To say it right away, we just discussed the new paper in Nature Neuroscience from the lab of Mark Stopfer (NNeuro preview) in our journal club and it doesn't answer this question either. What it does show is that in the paradigm which was so instrumental in develping STDP (classical olfactory learning in insects), STDP appears not to be able to explain trace conditioning either. The authors recorded from projection neurons (projecting from the antennal lobes to the mushroom bodies) and from Kenyon cells (intrinsic mushroom-body neurons) in moths (Manduca sexta). They showed that after odor alone presentations (no conditioning) no more spikes are fired in the Kenyon cells at a time point where they had demonstrated a US presentation to lead to maximum learning behaviorally. This is remarkable, because the Kenyon cells are considered to be the site where the associative memory is stored in this paradigm. The really new aspect of this work was that electrophysiological recordings (albeit not during conditioning) were combined with a behavioral approach analyzing optimal inter-stimulus intervals for classical conditioning. What the authors found was basically a negative result: STDP in the Kenyon cells cannot account for the learning exhibited by the insects. This is reminiscent of trace and delay conditioning in mammals: "In delay eyeblink conditioning, the CS overlaps with the US and only a brainstem-cerebellar circuit is necessary for learning. In trace eyeblink conditioning, the CS ends before the US is delivered and several forebrain structures, including the hippocampus, are required for learning, in addition to a brainstem-cerebellar circuit." (source).Maybe also in insect trace conditioning, both Kenyon cells and some other structure are required? Maybe this other structure works as a buffer to store the eligibility trace of the CS until the US arrives? Another option could be residual calcium (or some second-messenger) lingering for a few seconds until the US spikes arrive in the Kenyon cells. Only Kenyon cell recordings during conditioning can show the behavior of the Kenyon cells when the US arrives (to fully rule out STDP). I also think a trace conditioning paradigm for Drosophila needs to be developed in order to harness the genetic power also for this type of learning (this would address the calcium or second messenger hypothesis). This paper didn't really answer any questions, but it was so thoroughly done and well-designed that it threw up a lot of interesting ones which will hopefully lead to a completely new line of learning research in insects.Citation:Iori Ito, Rose Chik-ying Ong, Baranidharan Raman, Mark Stopfer (2008). Sparse odor representation and olfactory learning Nature Neuroscience, 11 (10), 1177-1184 DOI: 10.1038/nn.2192... Read more »
Iori Ito, Rose Chik-ying Ong, Baranidharan Raman, & Mark Stopfer. (2008) Sparse odor representation and olfactory learning. Nature Neuroscience, 11(10), 1177-1184. DOI: 10.1038/nn.2192
by Björn Brembs in bjoern.brembs.blog
I'm trying to catch up with my backlog of research news (~600 unread messages) and what do you know, the first one is already worth blogging about! Researchers from the Brooklyn College in New York have tested classical conditioning in Nautilus. This was an interesting experiment, because Nautilus (which is a cephalopod like squid, cuttlefish and octopus) doesn't have the structures known to be important for forming memories in this group of animals. So in true Pavlovian fashion, they flashed a blue light into their tanks, just before they got fed. In the memory tests, they just flashed the light and observed the animals without food. Just like Pavlov's dogs which salivate after a tone was paired with food to the tone alone, Nautilus shows anticipation of the food by extending their tentacles to the blue light alone up to a day after conditioning.Without a vertical lobe, these animals must use a different structure to store classical memories than other cephalopods. This result reinforces my opinion, that the minimum you need for a memory to form are two neurons and a synapse between them. Plasticity is probably a characteristic of all neurons. In this case, there ain't no such thing as a brain too small to learn. Citation: R. Crook, J. Basil (2008). A biphasic memory curve in the chambered nautilus, Nautilus pompilius L. (Cephalopoda: Nautiloidea) Journal of Experimental Biology, 211 (12), 1992-1998 DOI: 10.1242/jeb.018531... Read more »
R. Crook, & J. Basil. (2008) A biphasic memory curve in the chambered nautilus, Nautilus pompilius L. (Cephalopoda: Nautiloidea). Journal of Experimental Biology, 211(12), 1992-1998. DOI: 10.1242/jeb.018531
by Björn Brembs in bjoern.brembs.blog
I've been blogging on the evolution of religion before. Initially, I just thought operant behavior would seem like a good explanation for religion: the argument tied together the observation that (1) religious people are less depressed and (2) that learned helplessness is an animal model of depression and (3) that religion helps to create a feeling of control which is known to reduce depression. I later added some ideas prompted by some recent news about geomythology. Basically, the geomyths reinforced the notion that we always need to have an explanation and a reason for things that happen to us, especially for the bad things that happen to us. For all the things the people in the old days didn't have any explanation, they invented a deity. Sort of like creationists today, only more verbose.Now about three weeks ago, there was a paper in the journal Science (which has been covered extensively in the media and also in the other GlamMagz). Because of the extensive coverage, I won't go into any details of the procedure here, save it to quote the Nature Reviews Neuroscience article:The researchers manipulated participants so that they felt a lack of control, or asked them to recall a situation in which they were not in control. When these participants subsequently looked at grainy pictures they were more likely to see images that didn't exist. They also tended to perceive conspiracies and were more likely to create superstitious beliefs by causally linking unrelated events. Study author Jennifer Whitson of the University of Texas at Austin says: "This suggests that lacking control creates a visceral need for order — even imaginary order." Now, taking all of the above together, one could say that the brain tries to avoid depression by seeing order and reasons, where there are none. I think the case gets more and more solid by the research report that religion is a coping strategy of the brain to prevent debilitating depression by keeping up the appearance of operant control where in fact there isn't any. Even animals show superstition conditioning and religion is nothing but the human organized extension of it.Oh, and if your get-rich-quick scheme is to invent your own religion (which seems to be quite a successful idea so far): a good strategy is to look for people who feel out of control, or, even better, make people feel out of control. They will be more likely to believe your weird stuff then... ----Citation: J. A. Whitson, A. D. Galinsky (2008). Lacking Control Increases Illusory Pattern Perception Science, 322 (5898), 115-117 DOI: 10.1126/science.1159845... Read more »
J. A. Whitson, & A. D. Galinsky. (2008) Lacking Control Increases Illusory Pattern Perception. Science, 322(5898), 115-117. DOI: 10.1126/science.1159845
by Björn Brembs in bjoern.brembs.blog
Ok, so what else is new? We all love to rip GlamMag paperz to shreds in our journal clubs. This paper by Hong et al. last year in Nature stands out of the crowd in two main ways. For one, it shows how failing to realize alternative explanations can easily break your entire publication. Moreover, it shows how generating large datasets doesn't replace using your brain when generating and evaluating them. Apparently, the editors and reviewers at Nature handling this particular manuscript failed to take this into account this one time.The authors went through unbelievable efforts to test an enormous number of different wild type, mutant and transgenic Drosophila strains for their temperature preference. Based on only 8 authors, it seems to me these authors must have worked 24/7 for many, many months to get all this data, evaluate them and discuss and compile all the results. Here's their experiment:Pretty self explanatory: the flies walk around in a chamber with a temperature gradient and where they spend most of their time determines their temperature preference. From this sort of data, the authors calculate a preference index for high or low temperatures, respectively:According to their graph, flies walking around incessantly score an AI of zero both for high temperatures and for low temperatures (center pane of the graph). There is a structure in the Drosophila brain that is associated with hyperactivity: the mushroom-bodies. The study was published exactly ten years before Hong et al.: Mushroom bodies suppress locomotor activity in Drosophila melanogaster. Apparently, the authors are unaware of this publication, as they don't even cite it. However, the authors of this previous paper have used a very similar setup (horizontal tubes) and tested flies for their walking activity:In this graph (Fig. 2 from Martin et al., 1998), the mutant mbm1 as well as transgenic fly strains which have synaptic activity blocked in various parts of the mushroom-bodies (line 201Y, H24 and 17D) show increased walking activity. Now let's see how these flies perform in the temperature essay from Hong et al. (Fig. 1, modified to show just selected strains):As expected, the flies show an AI of around zero (with black bars denoting AI low and grey bars AI high). But Hong at al. have not suspended critical thought entirely before they submitted the results of their intensely laborious screening efforts. They realized there was a need to control for some sort of locomotion defects in the flies they tested. However, their control also fails on several levels: a) they used a climbing essay when in their temperature essay the flies were walking horizontally and b) the climbing performance in their essay could only decline and not increase:Thus, the authors could not detect the increase in walking performance that inhibiting mushroom-body function conveys (Martin at al., 1998).In summary: Hong et al. conclude that the mushroom-bodies are involved in temperature preference by using a locomotor essay that reproduces the results of an experiment published ten years earlier (Martin et al. 1998). Somehow adding insult to injury, they tested an absolutely incredible number of fly strains (more than 120, by my count), yielding no less than 30 pages of supplementary material with many figures, tables, text and references (but again, no citation of Martin et al. 1998 in there). Yet, they only manage to show the same thing as Martin et al. in 1998 with 10% the number of strains.Important: Of course, all this does not exclude that the mushroom-bodies and the processes in the neurons there controlling cAMP level indeed may be involved in temperature sensing and temperature preference. It's only that Hong et al. haven't shown that, yet.References: Hong, S., Bang, S., Hyun, S., Kang, J., Jeong, K., Paik, D., Chung, J., & Kim, J. (2008). cAMP signalling in mushroom bodies modulates temperature preference behaviour in Drosophila Nature DOI: 10.1038/nature070901. Jean-René Martin, 2. Roman Ernst, & 3. Martin Heisenberg (1998). Mushroom Bodies Suppress Locomotor Activity in Drosophila melanogaster Learning and Memory, 5, 179-191 DOI: 10.1101/lm.5.1.179... Read more »
Hong, S., Bang, S., Hyun, S., Kang, J., Jeong, K., Paik, D., Chung, J., & Kim, J. (2008) cAMP signalling in mushroom bodies modulates temperature preference behaviour in Drosophila. Nature. DOI: 10.1038/nature07090
1. Jean-René Martin, 2. Roman Ernst, & 3. Martin Heisenberg. (1998) Mushroom Bodies Suppress Locomotor Activity in Drosophila melanogaster. Learning and Memory, 179-191. DOI: 10.1101/lm.5.1.179
by Björn Brembs in bjoern.brembs.blog
Use it or lose it, they say. The saying holds not only for muscle fitness, but also for the brain. The Romans already knew that 'mens sana in corpore sano' and today we know that both physical and mental fitness, exercise and training can stave off many signs of aging. Even debilitating diseases such as Alzheimer's disease can be delayed, or at least their symptoms reduced by staying physically and mentally fit and active. I recently handled a manuscript in my function as Academic Editor for the journal PLoS One, which suggests that the analogy goes even further.The paper entitled "Endogenous Human Brain Dynamics Recover Slowly Following Cognitive Effort" has now been published and I thought it's worth highlighting.The authors of this study used functional magnetic resonance imaging or fMRI for short (colloquially: brain scanner). In 2001 Marcus Raichle coined the term default network for the brain areas that were discovered to be active when the test subjects in the scanner were at rest, i.e. not occupied with any task. The existence of this default network is a puzzle, as one would assume the brain would reduce its activity in the absence of any explicit tasks, given the high energetic cost of neural activity. Instead, the brain keeps running at ~99% of maximum load, even when we're not doing anything. This is precisely where the brain isn't like a muscle: muscles don't keep on contracting when we rest.But I wanted to explain how the current paper extends the analogy.Well then. Barnes et al. evaluated brain activity in a rest-task-rest experiment. This means they continuously scanned the brains of the participants before, during and after a cognitively demanding working memory task. Each participant went into the scanner twice, once with the task level set to easy and once with the level set to difficult. The way they analyzed their data is another way in which the brain is like a muscle, the heart muscle. Like heart beat and other physiological measures, the slow fMRI fluctuations also show fractal scaling behavior. We also found similar mathematics in our analysis of spontaneous fly behavior which was one of the reasons I became interested in the default network in general and in this manuscript in particular. The authors looked at one such measure, the Hurst exponent. Comparing this H-exponent before and after the difficult and easy task, respectively, Barnes et al. found that it can take several minutes until the H-values reach pre-task values after the task. Moreover, this time was extended after high cognitive load, compared to the low cognitive load task.These results make the brain even more like a muscle: after we use it, it takes some time for the brain to come back to the state in which it was before we used it. I'm not sure fatigue would be the right word to describe what is going on there, but the practical implications of this work are clear: what if you have designed an experiment where the rest periods between the tasks are shorter than the few minutes found in this study? Will the earlier tasks influence the brain scanner readings of the later tasks?But I found these results interesting for a much more general reason. The function of the default network is still a mystery. We know it's altered in patients, ranging from Alzheimer’s disease, autism, depression, schizophrenia, and attention-deficit-hyperactivity disorder to post-traumatic stress disorder, Tourette syndrome or amyotrophic lateral sclerosis. It's not surprising that it is thought to underly daydreaming and creativity. As such it may be involved in planning and strategizing. Mechanistically, the default network seems to be competing with the task related-networks in a sort of push-pull system: whenever we perform a task, the default network is suppressed and the network required for the task is enhanced. As soon as the task is over, the default network comes back online (albeit slightly disturbed from the task for some minutes as Barnes et al. show). Moreover, sometimes, the default network comes back during the task. The instances where the default network is 'pushing through' are usually the ones where the participant is making an error. Even if the participant is not making any errors, there seems to be a little default network activity left during the task and the variability in these fluctuations explain about 80% of the variability in the behavior during the task.All of this looks a lot like internal and external processing are competing for the computing capacity of the brain. Evolutionarily, this hypothesis would fit a lot of circumstantial evidence from other, basically unrelated fields. For instance, I recently blogged about a study which suggested that the ancestral organization of behavior may have been motor-sensory or output-input, meaning that stimuli only modulate ongoing activity, rather than eliciting behavior directly. This organization would also fit the solution of the explore-exploit dilemma underlying habit formation described in another recent blog-post. According to the hypothesis, the default network would underlie (at least to some extent) exploratory behavior (or at least the behavioral variability required for exploration) and repetition (or stress) would suppress the default network when habits are formed or executed. It also fits with our fly data showing that the variability in spontaneous behavior is decreased when the flies are flying towards an object as opposed to not having any visual cues.Could it be that this push-pull relationship between external and internal processing is not just a special feature of mammalian or even primate brains, but of all brains? It could explain why brains seem to passively react to external stimuli in one set of experiments (default network suppressed), but to actively explore the environment in other experiments (default network active). It would mean that brains are indeed not input-output devices, but neither are they output-input devices. Maybe they are both at the same time and neither function alone would lead to evolutionarily stable brains?To answer this question we need to look for default networks also in other brains. Unfortunately, this is technically somewhat tricky and the microscope I'd need to do that in flies costs about half a million Euros. I'm in the process of finding out how and where I have to apply to get my hands on one of these. If indeed this push-pull organization were universal, it would be the first evidence-based formulation of a general principle of brain function. It would fit a host of observations from a variety of different fields and model organisms. In what exciting times we are living! Barnes, A., Bullmore, E., & Suckling, J. (2009). Endogenous Human Brain Dynamics Recover Slowly Following Cognitive Effort PLoS ONE, 4 (8) DOI: 10.1371/journal.pone.0006626... Read more »
Barnes, A., Bullmore, E., & Suckling, J. (2009) Endogenous Human Brain Dynamics Recover Slowly Following Cognitive Effort. PLoS ONE, 4(8). DOI: 10.1371/journal.pone.0006626
Maye, A., Hsieh, C., Sugihara, G., & Brembs, B. (2007) Order in Spontaneous Behavior. PLoS ONE, 2(5). DOI: 10.1371/journal.pone.0000443
by Björn Brembs in bjoern.brembs.blog
I was recently alerted to a group of theoretical publications which deal with the issue of apparent 'noise' in neuronal populations. The Nature Reviews Neuroscience article "Neural correlations, population coding and computation" by Bruno B. Averbeck, Peter E. Latham & Alexandre Pouget covers this area quite well.Basically, the authors claim that the variability one can see when recording from the brain when the same stimulus is presented repeatedly is noise and must be detrimental for the tranmission of information and hence a problem the brain must solve:Part of the difficulty in understanding population coding is that neurons are noisy: the same pattern of activity never occurs twice, even when the same stimulus is presented. Because of this noise, population coding is necessarily probabilistic. If one is given a single noisy population response, it is impossible to know exactly what stimulus occurred. Instead, the brain must compute some estimate of the stimulus (its best guess, for example), or perhaps a probability distribution over stimuli.It needs to be noted that the authors do not refer to sensory neurons, which code sensory information with great precision. Instead, they look at neurons deep in the mammalian brain, many synapses away from the primary sensory afferents. What I don't understand from their article is why this should be considered 'noise'. Obviously, if high fidelity between the site of sensory input and the site of recording were required, there would be a single axon going there, and not via many syapses. Synapses are time consuming and energetically expensive. During development, unused synapses are being pruned throughout the brain. Thus, the variability must reflect some computation which takes place in the synapses from the site of sensory input to the site of recording. Let me illustrate this with a picture:Of course, if one records from neuron NR and stimulates sensory neuron NS, as in A, there is a lot of processing going in in the synapses along N1-4. This is happening even without any external input into the single conveyor belt of information. Of course, there never is such a conveyor belt, there are always inputs, feed-forward and feedback connection. But even in this simplest model of information transmission, every synapse is a computational component and not just a link between neurons adding variability to the sensory signal. These synapses would not be there if this processing was not some important brain function. This is illustrated in B: if simple and reliable information transmission from NS to NR were important, there would only be one single axon from NS to NR, without any additional processing.I would really like to hear good arguments as to why the recorded variability should be 'noise' and a problem for information coding, rather than a reflection of the brain doing what it's supposed to do: finding out what the best action is under the current circumstances.Averbeck, B., Latham, P., & Pouget, A. (2006). Neural correlations, population coding and computation Nature Reviews Neuroscience, 7 (5), 358-366 DOI: 10.1038/nrn1888... Read more »
Averbeck, B., Latham, P., & Pouget, A. (2006) Neural correlations, population coding and computation. Nature Reviews Neuroscience, 7(5), 358-366. DOI: 10.1038/nrn1888
by Björn Brembs in bjoern.brembs.blog
On the first day of last year's Gatsby workshop on "smaller cognitive systems", Gasper Jekely told us about their remarkable work on how the larvae of a marine polychaete worm (Platynereis dumerilii) perform phototaxis. Gaspar introduced his work by saying that these larvae may be very similar to the common ancestor of all bilaterally symmetric animals (Bilaterians), the Urbilaterian. The Urbilaterian being the last common ancestor of vertebrates and invertebrates, this would mean (and I have no reason to doubt) that we can learn a lot from the original state of that animal's nervous system. All of today's extant vertebrate and invertebrate nervous systems must be some variation of this initial organization.In the Nature paper entitled "Mechanism of phototaxis in marine zooplankton" (req. subscr.), Gaspar tells us the whole story in magnificent detail, full color and almost as fascinating and exciting as in his talk last year. These larvae are planktonic, moving around in the sea using a ring of cilia, beating to propel the animals forward. In the early larval stage, they move towards the light (positive phototaxis), moving them away from the place where they hatched (dispersal). Later in their development, the become negatively phototactic. This behavior brings them back to the ocean floor, where they metamorphize into the adult worm (probably quite some ways away from the place where they first hatched).The animals look sort of like an egg with hair (I'll refrain from alluding to any resemblance to living or fictional characters):The larva also has two eyes on the bald spot above the 'hairs'.It uses the cilia ("hairs") to generate a stream of water from front to back, propelling it through the water. Apparently, in the dark the animals move about randomly.When there is a light source, the two eyes of the larva can detect the direction from which the light is coming. The right eye detects light from the right and the left eye light from the left. Each eye has a shielding pigment to the center of the animal, to prevent light from the opposite direction from exciting the photoreceptor in each eye.The photoreceptor of each eye makes a direct, inhibitory synaptic connection to the most nearby ciliated cells:This means that whenever the photoreceptor detects light, it will inhibit the ciliated cells nearby, causing the cilia to beat with a lower frequency. In the graph below, all the cells are numbered around the equator of the larva, with cells #6 and 7 being closest to the eye.As you can see, in the dark, the frequency of the cilia in beats per second is significantly higher close to the eye, compared to when light is being shone on the larva.This reduction in ciliary frequency has the same effect as if you'd stop rowing on one side when you're on a lake, rowing: you turn towards the side where you stopped rowing. In much the same way, the larvae turn towards the light, by inhibiting the ongoing activity of the propelling cilia on the side on which there is light.Gaspar and his colleagues used a wide variety of methods including evolutionary biology, physiology, microscopy, behavioral biology and computer modelling to come to a truly astoundingly detauiled conclusion as to how these animals perform directed orientation maneuvers with very few nerve cells. The level of detail, sophistication and rigor is really exceptional in this publication.Superficially, what this fantastic work of science shows is how a stimulus (light) elicits a response (phototaxis) via sensorimotor processes. However, if you look at the physiology of how the larvae are actually performing the behavior, it becomes clear that this appearance is not supported by the data presented in this paper. Platynereis larvae generate ongoing behavior even in the absence of light. If the experimenter, the rotation of the earth or their own behavior leads to activation of the eye(s) by light, this light-stimulus only modulates (in this particular case inhibits) the behavior that was already present before any stimulation. Thus, the general organization of the Urbilaterian nervous system was not characterized by sensorimotor, but by motor-sensory processes. In the beginning was the behavior, dispersing the larvae. Only later, sensory processing started to provide an evolutionary advantage by modulating the behavior and directing the animal first towards light and then away from light.These results contrast with most neuroscientific research today which works under the assumption of the sensorimotor hypothesis, stating that the main function of brains is to produce behavior in response to sensory stimulation. This new research suggests that at least the ancestral state was the reverse: brains are generating behavior and then await the response of the environment.Jékely, G., Colombelli, J., Hausen, H., Guy, K., Stelzer, E., Nédélec, F., & Arendt, D. (2008). Mechanism of phototaxis in marine zooplankton Nature, 456 (7220), 395-399 DOI: 10.1038/nature07590... Read more »
Jékely, G., Colombelli, J., Hausen, H., Guy, K., Stelzer, E., Nédélec, F., & Arendt, D. (2008) Mechanism of phototaxis in marine zooplankton. Nature, 456(7220), 395-399. DOI: 10.1038/nature07590
by Björn Brembs in bjoern.brembs.blog
A quote from Nobel Laureate Eric Kandel in the December 11 issue of Science reminded me of a short article by David Glanzman covering a remarkable paper on pan-neuronal (aka 'intrinsic') plasticity and its involvement in learning and memory. Here is the quote:Q: Synaptic plasticity is a central concept in your work on memory. You've been working with Aplysia since 1962. What else do you think we can learn from these lowly snails? With almost all kinds of synaptic changes, there is a parallel change in the excitability of nerve cells. For example, in Aplysia, a number of neurons fire spontaneously, in bursts. If you [stimulate] a bursting cell [synaptically], you can change its bursting activity for long periods of time [which implies plasticity not only in the synapse but the neuron itself]. This just blew me away. [But] I've never come back to it. I received this quote from my postdoc advisor John Byrne. He traced Eric Kandel's mention back to an old finding in Aplysia published in 1977. By now, of course, intrinsic plasticity is a well-documented phenomenon, but its complexity has so far hampered research into the relationship of synapse-specific plasticity and neuron-wide, intrinsic plasticity. Moreover, some forms of intrinsic plasticity appear to be somewhat input-specific, for instance, if the affect only certain branches of the neuron, containing many synapses. Now, Jack Byrne and my then fellow postdoc in his lab Riccardo Mozzachiodi have published a very timely review on our current understanding of intrinsic plasticity with regards to synaptic plasticity, entitled "More than synaptic plasticity: role of nonsynaptic plasticity in learning and memory".The review covers many examples from both vertebrate and invertebrate model systems and is a great primer into the 'other' learning mechanism. The review does of course not yet include the paper on the involvement of Na/K pumps in intrinsic plasticity as this paper came out just now, a few weeks after Mozzachiodi and Byrne was published. This new paper shows that not only ion-channels contribute to intrinsic plasticity, but even such seemingly 'boring' molecules as Na/K-ATPases.I became interested in intrinsic plasticity since evidence started to come in that operant conditioning was relying on intrinsic plasticity in Aplysia. Now that also in Drosophila it appears that a completely different set of genes is required for modifying behavioral circuits during operant conditioning (or self-learning, as we have recently defined it), while the well-known synaptic plasticity genes are not required. Maybe this differential genetic requirement reflects the mechanisms also differentially affecting synaptic vs. intrinsic plasticity? Could it be that intrinsic plasticity allows to modify the firing properties of a central neuron in a behaviorally relevant network and thereby affecting the entire network, rather than just some small-scale property in it? If this were the case, it would make a lot of sense to regulate such far-reaching network alterations and only allow them after sufficient training - which is exactly what we just found in Drosophila. Thus, there is quite some circumstantial evidence suggesting that synaptic and intrinsic plasticity may also be behaviorally differentiable. However, no clear direct experimental evidence is available, yet.Interestingly, a PubMed search for "Intrinsic plasticity" OR "intrinsic excitability" yields only 274 articles (with only a handful of papers before 2000), while a search for "synaptic plasticity" yields 8564. Anybody out there looking for a cutting-edge research field?Pulver, S., & Griffith, L. (2009). Spike integration and cellular memory in a rhythmic network from Na+/K+ pump current dynamics Nature Neuroscience, 13 (1), 53-59 DOI: 10.1038/nn.2444Pulver, S., & Griffith, L. (2009). Spike integration and cellular memory in a rhythmic network from Na+/K+ pump current dynamics Nature Neuroscience, 13 (1), 53-59 DOI: 10.1038/nn.2444... Read more »
Pulver, S., & Griffith, L. (2009) Spike integration and cellular memory in a rhythmic network from Na /K pump current dynamics. Nature Neuroscience, 13(1), 53-59. DOI: 10.1038/nn.2444
by Björn Brembs in bjoern.brembs.blog
It is a long-standing argument among religious believers that religiosity were necessary for morality. In a recent Trends in Cognitive Sciences article (requires subscription), Pyysiäinen and Hauser argue that morality can arise and indeed can be found without and before any religious education and thus religion is a by-product of pre-existing cognitive properties of the brain. Indeed, religion is not ubiquitous, as for instance the Hadza's religion has been described as 'minimal', and yet, cooperation and morality are - as in all human cultures - thriving. In fact, there is a clear negative correlation between socioeconomic status and supernatural beliefs, further arguing that religiosity is not really all that important for morality to evolve or to persist. Pyysiäinen and Hauser cite a series of studies in moral psychology showing that moral judgments for unfamiliar moral dilemmas are unaffected in individuals without any religious background. In their press release, the authors conclude: "This supports the theory that religion did not originally emerge as a biological adaptation for cooperation, but evolved as a separate by-product of pre-existing cognitive functions that evolved from non-religious functions," says Dr. Pyysiäinen. "However, although it appears as if cooperation is made possible by mental mechanisms that are not specific to religion, religion can play a role in facilitating and stabilizing cooperation between groups."Perhaps this may help to explain the complex association between morality and religion. "It seems that in many cultures religious concepts and beliefs have become the standard way of conceptualizing moral intuitions. Although, as we discuss in our paper, this link is not a necessary one, many people have become so accustomed to using it, that criticism targeted at religion is experienced as a fundamental threat to our moral existence," concludes Dr. Hauser.This leaves open some other, less social cognitive factors contributing to the origin of religiosity, to which to authors allude towards the middle of their article: "[...] the concept of God is based on extending to non-embodied agents the standard capacity of attributing beliefs and desires to embodied agents. According to this view, religious beliefs are a by-product of evolved cognitive mechanisms." The authors are referring to 'theory of mind'. Besides this, still social capacity, there are several other factors contributing to the origins of religion. One such factor is of course our concept of causality and our hunt for last causes. However, the factor that is, of course, closest to my own field of research is that religion works as an operant behavior. This means that religion, for instance, can provide us with a feeling of control where, ultimately, there is none (think rain dance). This is not counter-intuitive and so I'm not the only person who has realized that this may be an important contributing cognitive factor. There is even prior evidence that when experiencing or remembering an experience of lack of control, these cognitive capacities for imagining control and order are enhanced.These insights leave us with a set of pre-existing cognitive abilities providing a fertile ground on which the evolution of religion could occur as a by-product: Our capacity to detect agency (so helpful in our social interactions that we see it even in non-living objects), together with the concept of causality imply that everything happens for a reason and that this reason is the intention of someone. This someone can be controlled using certain rituals as evidenced, for instance, by the rain occurring after a rain-dance. This someone obviously punishes you if you do not perform these rituals, so of course this someone will also punish you if you do not cooperate or otherwise violate the rules of the in-group. In this way, religion provides you with a sense of order and controllability in an uncontrollable world which, in turn, keeps you sane, your society functioning and thus competitive and alive. As one of the commenters on the press release noted, 'competitive' may be the key word here, with religion providing a further tool for promoting self-sacrifice and suicidal fighting which might have provided some particularly religious groups with a competitive advantage.Methinks it's about time for someone to develop a computer model for the evolution of religion, the data are starting to provide enough parameters for such a project.Also in reply to one of the comments on the authors' press release, a very pertinent video via Pharyngula:Ilkka Pyysiäinen, & Marc Hauser (2010). The origins of religion: evolved adaptation or by-product? Trends in Cognitive Sciences : 10.1016/j.tics.2009.12.007... Read more »
Ilkka Pyysiäinen, & Marc Hauser. (2010) The origins of religion: evolved adaptation or by-product?. Trends in Cognitive Sciences. info:/10.1016/j.tics.2009.12.007
by Björn Brembs in bjoern.brembs.blog
Blogging about one's own research always feels good: the amount of your work has accumulated enough to at least provide sufficient material for a story and some figures. It has passed the first hurdle of scientific scrutiny, peer review. On the other hand, now an exciting time begins: what will the colleagues say? Will people find the one major flaw that neither you, your co-authors, the people who proof-read the drafts before submission nor the reviewers caught? Will the results lead to new, exciting collaborations, will it be cited or will it just be met with utter apathy and complete indifference? After all, with about 1.5 million scholarly publications in approx. 24.000 journals, it's not at all unlikely that your paper just simply never is found by anyone who might be interested in it.All this of course applies to our latest paper as well. However, for those who do read it, I'm sure it will be a fascinating read. It is, without exaggeration, the craziest scientific story I've ever been involved in, an example of serendipity in science if ever there was one. Here's how it all happened. Shortly after we published our mathematical analysis of spontaneous turning behavior in stationary flying Drosophila, Bruno van Swinderen contacted me about a collaboration. I knew Bruno from before (see here and here), but we had never worked together on a project. So I was very excited to hear that he wanted me to test some of his flies in the Drosophila flight simulator, using the exact same techniques we just had published. The initial idea was to use these mathematical analyses to test his mutant flies for any abnormalities in their spontaneous behavior. However, it turned out that the mutant flies that he had sent me, radish, didn't really fly all that well, at least not well enough to generate enough data to run our mathematics on them. Neither did Bruno tell me about his results, we wanted that I should be blind as to the deficits he had found in radish. I knew radish was a memory mutant for olfactory conditioning, but that it could learn visual patterns just fine. Beyond that, nobody knew what other behavioral phenotypes this strain would exhibit.So I went on to test a whole bunch of other things for which I had the experimental setups readily available. Of all these experiments, I picked the simplest one and sent Bruno the raw data back. I just measured the flies' spontaneous turning attempts without any visual stimulation for as long as I could get the flies to fly continuously, which was six minutes. As a control experiment, the flies' behavior was measured in a flight simulator-like situation, where they could control their flight direction with respect to four visual landmarks (but still tethered, of course). I sent Bruno the data in blind, which means he didn't know which group was the wildtype control and which was the mutant group. He immediately wrote back accurately identifying the mutant group. I had no idea how he could have figured out which group was which so quickly and the experiments were basically concluded, so he started to show me his data. Bruno does something very few people on this planet are doing: he can put tiny little electrodes in the flies' brains and record their brain waves. Now with this particular mutant strain, he found that they had a peak in the power spectrum of their brain waves at around 1.6 Hz. Stunningly, when he computed the power spectrum of their turning behavior (i.e., my data), he also found a peak at about 1.6 Hz, but only when the flies were flying with the four visual landmarks. The peak was much less pronounced when there were no explicit stimuli in their environment. It was by this peak that he had recognized the mutants so quickly. But what could this peak mean? One thing it could mean is that the mutant flies become fidgety, if there's something in the environment they need to pay attention to. About one and a half times per second, the flies are initiating some turning maneuver, which can be seen as a peak in the power spectrum. In other words, the flies are hyperactive or fidgety, in this very well-defined, oscillatory kind of way. He then went on to tell me that they also were more easily distractable than the wildtype controls, both in behavior and by inferring from their brain waves when presenting them with various competing visual stimuli.I thought this was really quite amazing. Flies which are known for their memory loss are both hyperactive and have an attention deficit. I immediately thought of people with attention deficit / hyperactivity disorder (ADHD). They also have learning problems. As a joke, I suggested we put the flies on Ritalin, the drug used to treat patients with ADHD. Bruno replied that these data were actually intended for a different publication, but they indeed would fit very well with this one, too. I was flabbergasted! He had already done the experiments with methylphenidate (Ritalin is just the trade name). To my utter astonishment, the flies on methylphenidate performed like their wildtype counterparts in almost all of the tests we subjected them to. This is even more amazing when you consider that the mutated gene, radish, is required during brain development (late during pupation) and not during the behavioral test. In other words, methylphenidate rescues a deficit in adulthood that even a healthy copy of the originally mutated gene cannot rescue any more. I find it absolutely crazy to find a fly model for a human psychiatric disorder. On top of that, Ritalin, the drug used to treat ADHD in humans actually also successfully treated the flies. It's even more crazy to find all that by accident, without even looking for it! All we wanted was to study some interesting fly mutants to learn more about some basic brain function. How can it be possible to find something like this just by serendipity? My favorite hypothesis is that there are some fundamental principles about how all brains work and we have stumbled across one of them. We still don't know what it is or how it works, only that it has to do with how brain allocate attention to different processing streams. It is tempting to speculate that this process has to do with switching of activity between separate networks, but there currently is no data to tell either way.I do have plenty of other interesting results from this mutant, both in flight and in walking. However, I cannot make much sense of them, yet, so a lot of further research is required before part two of this story can be presented.Of course, as usual, I have a copy of the paper, together with all the supplementary material, on the download page.van Swinderen, B., & Brembs, B. (2010). Attention-Like Deficit and Hyperactivity in a Drosophila Memory Mutant Journal of Neuroscience, 30 (3), 1003-1014 DOI: 10.1523/JNEUROSCI.4516-09.2010... Read more »
van Swinderen, B., & Brembs, B. (2010) Attention-Like Deficit and Hyperactivity in a Drosophila Memory Mutant. Journal of Neuroscience, 30(3), 1003-1014. DOI: 10.1523/JNEUROSCI.4516-09.2010
by Björn Brembs in bjoern.brembs.blog
The last decades of research on human evolution have provided an astounding body of converging evidence for an African origin of the human lineage just under about 200k years ago, with a subsequent migration across the globe starting around 60k years ago until all the main regions of this planet were inhabited by humans at around 15k years ago. Compare this scenario to the creationist story, where humans were shaped by a magic man out of clay about 6k years ago, which means it happened just after the Sumerians have invented glue.What is the converging evidence telling the "Out of Africa" story?It all started with fossils and artifacts. Archeology, with its own dating techniques and collection methods, suggested a route that looks something like this:(Image source)Later, genetic evidence came along. Geneticists, with their own dating techniques and experimental methods suggested migration routes that looked something like this:(Image source)After the genetic evidence, came evidence from a bacterium associated with humans: Helicobacter pylori. It lives in our guts and can cause stomach ulcers. It's been associated with our digestive tract for many thousands of years. Looking at the different strains of these bacteria, microbiologists, using their own dating techniques and experimental protocols, deduced that this bacterium in our guts must have traveled roughly along these routes:(Image source)Most recently, linguists came along and studied the phonemes that make up 504 of the different human languages around the globe. These linguists adopted the analysis tools from the geneticists to their own dating techniques and sampling methods and came up with a map that suggested the following main routes along which the human languages seem to have developed:(Image source)Clearly, getting the dates correct using phonemes will prove a lot harder than the previously used dating techniques. Nevertheless, these are four independent lines of evidence, collected over many decades by scientists with vastly different backgrounds and training. Yet, the results agree to an astonishing extent.However, this doesn't mean it's 'true' or 'scientifically proven'. It only means that this is the best humans can currently possibly do and anything new that comes along must not only explain the current congruence of disparate data, but also explain more data, than the current 'Out of Africa' theory can explain. A few self-contradictory passages in an ancient text do not even begin to come close to being a contender.Given this sort of evidence, it becomes rather obvious that creationists are either uninformed or unpersuadable. For the former, information like the one in this post should be more than sufficient to falsify the creationist dogma. For the latter, ridicule and derision is the best response.This post was inspired by Lapidarium Notes.Pertinent peer-reviewed literature:Green, R., Krause, J., Ptak, S., Briggs, A., Ronan, M., Simons, J., Du, L., Egholm, M., Rothberg, J., Paunovic, M., & Pääbo, S. (2006). Analysis of one million base pairs of Neanderthal DNA Nature, 444 (7117), 330-336 DOI: 10.1038/nature05336Linz, B., Balloux, F., Moodley, Y., Manica, A., Liu, H., Roumagnac, P., Falush, D., Stamer, C., Prugnolle, F., van der Merwe, S., Yamaoka, Y., Graham, D., Perez-Trallero, E., Wadstrom, T., Suerbaum, S., & Achtman, M. (2007). An African origin for the intimate association between humans and Helicobacter pylori Nature, 445 (7130), 915-918 DOI: 10.1038/nature05562Atkinson, Q. (2011). Phonemic Diversity Supports a Serial Founder Effect Model of Language Expansion from Africa Science, 332 (6027), 346-349 DOI: 10.1126/science.1199295... Read more »
Green, R., Krause, J., Ptak, S., Briggs, A., Ronan, M., Simons, J., Du, L., Egholm, M., Rothberg, J., Paunovic, M.... (2006) Analysis of one million base pairs of Neanderthal DNA. Nature, 444(7117), 330-336. DOI: 10.1038/nature05336
Linz, B., Balloux, F., Moodley, Y., Manica, A., Liu, H., Roumagnac, P., Falush, D., Stamer, C., Prugnolle, F., van der Merwe, S.... (2007) An African origin for the intimate association between humans and Helicobacter pylori. Nature, 445(7130), 915-918. DOI: 10.1038/nature05562
Atkinson, Q. (2011) Phonemic Diversity Supports a Serial Founder Effect Model of Language Expansion from Africa. Science, 332(6027), 346-349. DOI: 10.1126/science.1199295
by Björn Brembs in bjoern.brembs.blog
Animals constantly have to adapt to varying environmental conditions, explore new situations and figure out new strategies to catch prey or avoid predators. On the other hand, they need to be able to behave consistently in a largely deterministic environment. Brains reflect the complex mixture of chance and necessity in the environment in thier structure and function.One great example of this was just explained to me here on a poster at the annual meeting of the Society for Neuroscience (SfN). The poster was entitled "Distinct inhibitory neurons exert temporally specific control over activity of a motoneuron receiving concurrent excitation and inhibition" and came out of the lab of Klaude Weiss at Mount Sinai. The researchers work on the neurophysiological model system Aplysia. They study how the neurons in the buccal ganglia control the movement of the radula (a tongue-like organ) during feeding. Other scientists in the lab have shown previously that Aplysia feeding behavior is highly variable, probably to be able to adapt to a large variety of different food sources. What was unknown until now is how the neurons in buccal ganglia which control feeding behavior generate this variability. This is what this poster was about.They showed that the seemingly simple, two-phase behavior of the radula coming out of the jaws (protraction) in the open state, and pulling food into the mouth (retraction) in the closed state is subdivided neuronally into smaller chunks of behavior. For instance, using electrodes in multiple neurons at once, they figured out that the closure state of the radula during retraction consists of an early phase and a late phase. The motor neuron which controls the closure of the radula is identified and is called B8. By recording the activity of various identified neurons in the buccal ganglia, as well as by de- or hyperpolarizing them in a quiescent preparation or during feeding motor programs actively generated by the ganglia in the dish, Sasaki et al. teased apart how excitatory and inhibitory input converges on B8 during retraction. The excitatory input makes B8 fire and the radula closes. Two neurons provide inhibitory input for B8. Depending on how rapid they fire and when, B8 fires less strongly and the radula closes less strongly or stays open. One of these neurons, called B70, fires in the early phase of retraction and the other, B4/5, fires late during retraction. On the poster, the researchers show how the delicate balance between tonic excitation and early/late inhibition by these two neurons allows the animal to close the radula more or less, earlier or later, depending on what is the most successful strategy with whatever food the animal is currently attempting to feed on.This delicate balance is a great example of how brains keep their behavior flexible and variable: by keeping the behavior always on the edge of one or another state (open or closed in the case of the radula), it only takes the smallest variations in any neural activity and it may have large effects on the behavior. The researchers also showed that there are peptidergic modulations going on in this balance, allowing for longer-term fine-tuning of the balance. I find these results very exciting, because the provide a compelling example of a potential mechanism for how behavioral variability is generated, which we have studied in the fruit fly Drosophila. It's exactly this 'critical' state in a labile balance which may serve as one of the mechanisms which generate the sort of variability we have also observed in Drosophila.This research has just been published in the Journal of Neuroscience, so you can have a lok at all the exciting results for yourself:Sasaki, K., Brezina, V., Weiss, K., & Jing, J. (2009). Distinct Inhibitory Neurons Exert Temporally Specific Control over Activity of a Motoneuron Receiving Concurrent Excitation and Inhibition Journal of Neuroscience, 29 (38), 11732-11744 DOI: 10.1523/JNEUROSCI.3051-09.2009... Read more »
Sasaki, K., Brezina, V., Weiss, K., & Jing, J. (2009) Distinct Inhibitory Neurons Exert Temporally Specific Control over Activity of a Motoneuron Receiving Concurrent Excitation and Inhibition. Journal of Neuroscience, 29(38), 11732-11744. DOI: 10.1523/JNEUROSCI.3051-09.2009
by Björn Brembs in bjoern.brembs.blog
A few weeks ago, Lars Chittka invited me to write an article "about free will in insects" for a Proceedings of the Royal Society B (Biological Sciences) Special Feature on 'Information processing in miniature brains' that he is editing. Given our work on spontaneity in flies and my mentor being Martin Heisenberg, how could I decline?I think I will first give a very brief overview of what people used to call "free will" and why it was such a controversy. I hope to get the gist across in about two paragraphs. Much of this info will be distilled from Bob Doyle's website and his article in William James Studies. Bob also published a letter to Nature in response to Martin Heisenberg's article there. Is it just coincidence that it was Heisenberg's father Werner Heisenberg who discovered the uncertainty principle?Then I plan to go on to argue that today the old, metaphysical free will of course does not exist in the almost 'spiritual' sense and that no prominent scholar has entertained that idea at least since Popper and Eccles' book "The self and its brain" in 1977. Instead, I will try and make the case that the term "free will" should be recast in biological terms, as a trait that evolved and keeps evolving to different degrees in different animals. I plan to use evidence from flies, leeches and other invertebrate animals to emphasize that even so-called 'simple' brains possess the capacity to behave unpredictably, i.e., freely. Any difference in freedom between animals is merely gradual.I probably should also spend a paragraph or so elaborating on the selection pressures leading to spontaneous behaviors and behavioral variability.Once the capacity for freedom has been shown, it will take less work convincing the readers of the capacity to 'will'.All of this should be couched in the notion that the dichotomy between indeterminism and determinism is a false dichotomy, because brains operate in the gray area between the two. This may be the most difficult concept to grasp, that indeterminism and determinism are not mutually exclusive, but delineate a spectrum of what one may call 'probabilism'. I may try and refer to evolution as also using both concepts of mutation (indeterminate) and selection (determinate) in a probabilistic process. I may even try and refer to Bayesian Statistics, although I know little more than the basic idea behind it. The main task of this section will be to argue that what we call freedom is more than just chance. Chance, or randomness is a prerequisite for freedom, a necessary component but it's not sufficient. Let me quote from our press release at the time: [co-author George Sugihara]"This nonlinear signature eliminates the two alternative explanations of spontaneous turning behavior in flies that would run counter to free will, namely complete randomness and pure determinism. These represent opposite and extreme endpoints in discussions of brain functioning which mirror the free will debate." To that, I'd only add that our subjective notion of 'Free Will' is essentially an oxymoron: we would not consider it 'will' if it were completely random and we would not consider it 'free' if it were entirely determined. Nobody would attribute any responsibility to our action if it had happened entirely coincidental. On the other hand, if our action was completely determined by external factors such that there was no alternative, again the person would not be held responsible. So if there is anything remotely close to free will, it must exist somewhere between chance and necessity - which is exactly where fly behavior comes to lie. George again finds the right words: "Our results address the middle ground between simple determinism and randomness that is currently not well understood or characterized. We speculate that if free will exists, it is in this middle ground." This leads me to believe that the question of whether or not we have free will appears to be posed the wrong way. Instead, if we ask 'where between chance and necessity are we located?' one finds that this is precisely where humans and animals differ. Humans may not have free will in the philosophical sense, but even flies have a number of behavioral options they need to decide between. Humans are less determined than flies and possess even more options. With this small reformulation, the topic of free will becomes the new biological research area of studying spontaneous behavior and can thus be discerned from the philosophical question.If after all that there's still room in the article, I'll review some of the data on the human default mode network and what they might contribute to the debate.Let's see, if enough people express interest in the comments, I may put a draft version online for comments and review. All commenters will at least be mentioned in the acknowledgements, of course.Heisenberg, M. (2009). Is free will an illusion? Nature, 459 (7244), 164-165 DOI: 10.1038/459164aDoyle, R. (2009). Free will: it's a normal biological property, not a gift or a mystery Nature, 459 (7250), 1052-1052 DOI: 10.1038/4591052cBriggman, K. (2005). Optical Imaging of Neuronal Populations During Decision-Making Science, 307 (5711), 896-901 DOI: 10.1126/science.1103736... Read more »
Heisenberg, M. (2009) Is free will an illusion?. Nature, 459(7244), 164-165. DOI: 10.1038/459164a
Doyle, R. (2009) Free will: it's a normal biological property, not a gift or a mystery. Nature, 459(7250), 1052-1052. DOI: 10.1038/4591052c
Briggman, K. (2005) Optical Imaging of Neuronal Populations During Decision-Making. Science, 307(5711), 896-901. DOI: 10.1126/science.1103736
Maye, A., Hsieh, C., Sugihara, G., & Brembs, B. (2007) Order in Spontaneous Behavior. PLoS ONE, 2(5). DOI: 10.1371/journal.pone.0000443
by Björn Brembs in bjoern.brembs.blog
Only very few laboratories in the world perform operant conditioning of spinal reflexes. In fact, a quick PubMed search reveals there is only a single lab which has published in this field in the last decade, the lab of Jonathan Wolpaw. Jonathan's review "What Can the Spinal Cord Teach Us about Learning and Memory?" in The Neuroscientist shows what neuroscience is missing out on by not investing more in this fascinating field.Operant conditioning of spinal reflexes is probably the most controlled operant conditioning situation imaginable: reward the animal when it responds with a reflex magnitude above or below a certain threshold, respectively. This is done by triggering the reflex with a cuff electrode around the nerve and then measuring the amplitude of the reflex with electromyography (EMG):The electrical stimulation via the cuff excites the muscle directly (the M signal in the EMG in the upper left corner) and, with a delay, indirectly via the H-reflex.Below is an image of what that setup looks like when it's implanted in a rat:The rat is running around in its cage and receives a food reward whenever the H-reflex reaches the required amplitude.Given that the textbook reflex (i.e., the spinal stretch reflex shown in the first image above) is monosynaptic, one would expect just this synapse to be modified after operant conditioning. However, this synaptic plasticity only contributes to one form of this learning, namely up-conditioning. Up-conditioning refers to the experiment where increased reflex amplitude was rewarded. In these experiments, the synaptic input from the primary 1a afferents (blue, in the first figure above) is increased, making the reflex amplitude larger. In down-conditioning, however, the synaptic input to the motor neuron is not altered, but the motor neuron itself (green) reveals an increased firing threshold and reduced postsynaptic potentials, making the motor neuron less likely to fire (and hence reflex amplitude smaller). In addition to these different forms of plasticity, correlates of the memory can be found throughout the spinal cord and even in the cortex. Some of these correlates appear to be compensatory modifications to other reflexes, preventing the increased amplitude of the conditioned reflex from making the animal limp. Again others are required for the mainteneance of the memory, but do not seem to directly contribute ot the memory trace itself. There are many more examples in the paper.Taken together, the results presented in this review open up more questions than they answer and demonstrate that this is a promising research field, with still plenty of low-hanging fruit and a large variety of basic neuroscientific lessons which are hard, if not impossible to learn from other models.What are you waiting for? Go and study operant conditioning of these reflexes already! Wolpaw, J. (2010). What Can the Spinal Cord Teach Us about Learning and Memory? The Neuroscientist, 16 (5), 532-549 DOI: 10.1177/1073858410368314... Read more »
Wolpaw, J. (2010) What Can the Spinal Cord Teach Us about Learning and Memory?. The Neuroscientist, 16(5), 532-549. DOI: 10.1177/1073858410368314
by Björn Brembs in bjoern.brembs.blog
It's not information overload, it's filter failure (Clay Shirky)Bonetta (2009) gave an excellent introduction to the micro-blogging service Twitter and its uses and limitations for scientific communication. We believe that other social networking tools merit a similar introduction, especially those that provide more effective filtering of scientifically relevant information than Twitter. We find that FriendFeed (already mentioned in the first online comment on the article, by Jo Badge) shares all of the features of Twitter but few of its limitations and provides many additional features valuable for scientists. Bonetta quotes Jonathan Weissman, a Howard Hughes Medical Institute investigator at the University of California, San Francisco: "I could see something similar to Twitter might be useful as a way for a group of scientists to share information. To ask questions like 'Does anyone have a good antibody?' 'How much does everyone pay for oligos?' 'Does anyone have experience with this technique?'" It is precisely for such and many more purposes that scientists use FriendFeed, which allows the collection of many kinds of contributions, not just short text messages. Also in contrast to Twitter, comments to each contribution are archived in that context (and without a time limit), providing a solid base for fruitful, threaded discussions. In your user profile, you can choose to aggregate any number of individual RSS or Atom 'feeds', including scientific publications you bookmark in your online reference manager (e.g. CiteULike or Connotea), your blog entries, social bookmarks (Google Reader, del.icio.us, etc.), and Tweets; and any other items you wish to post directly to your feed. You then look for other users whose profile is relevant to your work and subscribe to them. Every individual item posted in your subscriptions will then appear on your personalized FriendFeed homepage, plus optionally a configurable subset of the feeds you subscribed to. You can choose to bookmark ('like') any of these items (Facebook copied this 'like' functionality just before it bought FriendFeed), comment on them, and share discussion threads in various ways. At first, this aggregation of information and threaded discussions might seem daunting. However, the stream of information can be channeled by organizing it into separate sub-channels ('lists'; similar to but more versatile than 'folders' in email), according to your personal preferences (e.g. one for search alerts). In addition to individual users, you can also subscribe to 'rooms' that revolve around particular topics. For example, the "The Life Scientists" room currently has 1,267 members and imports one feed. The feature that makes FriendFeed truly useful is its social filtering system. Active discussions move to the top of your FriendFeed homepage with each new addition, which automatically brings them to the attention of you and everyone else who reads those feeds. In a sense, the most current and the most popular entries compete for attention at the top, making notifications unnecessary. This means that your choice of both rooms and subscriptions affects and filters the content you see. In that way, for instance, you could set your preferences such that you would only see papers with a certain minimum number of 'likes' among your colleagues. Alternatively, you can opt to hide items with zero likes or comments, ensuring that only those that someone found interesting will reach you. Thanks to a very fine-grained search functionality, threads also remain easily retrievable. Some of the synergistic effects of the many scientists interacting on FriendFeed are already apparent at this early stage of adoption. FriendFeed provides a convenient way to microblog from conferences by means of dedicated threads or discussion rooms created for the event, thus allowing to share comments within and across sessions, or even with people not physically present at the meeting. Such conference coverage has even received direct (e.g. ISMB09, BioSysBio09) or indirect (e.g. ISMB08) support from the conference organizers. Above and beyond conference coverage, scientists use FriendFeed to share papers, experiences on laboratory equipment, resources for teaching, or anything else commonly asked at mailing lists. A number of real-world scientific collaborations have already been sparked from such interactions. Collaborative grant proposals have been initiated, submitted and some of them approved after the idea was passed around and discussed on FriendFeed. Several bioinformatics problems have been solved by code-sharing and advice. Articles in scientific journals have been published by FriendFeed users after meeting and discussing on the platform [1-5]. Of course, since FriendFeed was not designed for scientists, there is room for improvement in terms of usability for scientific purposes. For instance, files can only be uploaded upon starting a thread, not while commenting on it, and there is currently no functionality which infers a measure of reputation to a user from his/her contributions (though the wide-spread use of real names somewhat allows that to be imported). As with all online contributions, citability and long-term archiving are unresolved issues, as is the permanence of services whose source code is not public. Fortunately, the development of social networks tailored to the needs of scientists is actively being pursued from various angles. The Polymath projects, in which researchers collaborate online to solve mathematical problems, provide a number of examples. The recent award of two NIH grants of over $US10M each for exactly such purposes is another. Ultimately, the continued enthusiastic adoption of the sophisticated variants of social filtering tools by a broad community of researchers interested in sharing their science will only increase the usefulness for and thus the capabilities of the online scientific community.References: Lister, A., Charoensawan, V., De, S., James, K., Janga, S. C. C., Huppert, J., 2009. Interfacing systems biology and synthetic biology. Genome biology. 10 (6), 309+. http://genomebiology.com/2009/10/6/309Saunders N, Beltr‹o P, Jensen L, Jurczak D, Krause R, et al. (2009) Microblogging the ISMB: A New Approach to Conference Reporting. PLoS Comput Biol 5(1): e1000263. http://dx.doi.org/10.1371/journal.pcbi.1000263 Neylon C, Wu S (2009) Article-Level Metrics and the Evolution of Scientific Impact. PLoS Biol 7(11): e1000242. http://dx.doi.org/10.1371/journal.pbio.1000242Daub J, Gardner PP, Tate J, Ramskšld D, Manske M, Scott WG, Weinberg Z, Griffiths-Jones S, Bateman A. (2008): The RNA WikiProject: community annotation of RNA families. RNA. 14(12):2462-4 http://dx.doi.org/10.1261/rna.1200508 Huss & al. The Gene Wiki: community intelligence applied to human gene annotation. http://dx.doi.org/10.1093/nar/gkp760 Acknowledgment: This comment has received input from a number of FriendFeed users, as detailed in this thread, and was jointly blogged today by Björn Brembs (Friendfeed, this blog post), Allyson Lister (FriendFeed, blog post) and Daniel Mietchen (FriendFeed, blog post).... Read more »
Bonetta, L. (2009) Should You Be Tweeting?. Cell, 139(3), 452-453. DOI: 10.1016/j.cell.2009.10.017
by Björn Brembs in bjoern.brembs.blog
There are about 1.5 million scholarly articles published in all the sciences, spread over about 24,000 journals. Even if there were a single database or entry-point providing access to all the literature, nobody would be able to keep up with everything that is being published in their field of work any more. Desperately looking for some clue as to which publications to select for in-depth reading and which to ignore, scientists began to rank the journals according to how often the articles in these journals were cited. This ranking got started around the 1960s, when the number of journals started to proliferate. Fast-forward to today: What began as a last-ditch effort to handle an overwhelming flood of scientific information is now a full blown business. Journal ranking by citations is now done commercially by a multi-billion Dollar media corporation, Thomson Reuters. The journal rankings are sold to research institutions on a subscription basis ranging anywhere between approx. 30,000-300,000€ (US$40,000-400,000) annually.With increased visibility for the high-ranking journals came an increase in submitted contributions. The higher ranking the journal, the more readers and contributors, so the more income for the publisher. And so the vicious cycle of scientific publishing evolved: more and more scientists want to publish in and read the high-ranking journals. Due to the high volume of submissions, the publishers of these journals are in a position to pick about 2-5% of the submitted articles for publication and reject the rest, increasing the prestige of these journals even more. Sometimes these rejections are accompanied by a recommendation to submit the work to one of the lower-rank journals of the same publisher. Clearly, something has to be exceptionally 'good' to make it into a high-ranking journal (or, as some claim, have the potential to increase the journal's rank). After a few cycles, it became difficult to distinguish if a scientific finding was so 'good' that it made it into the high-ranking journals or if it had to be good because it was published there. Indeed, for some aspects of scientific life such as promotions, hiring, grant proposals or other sorts of evaluations, this question wasn't even asked anymore. Publication quality became synonymous with journal rank. Today, where a scientist has published is often more important than what was published. In all human life, scarcity and branding are two powerful factors for determining value, as I'm sure any economist can tell a story or two about. Scientists are human beings and journal rank is but one example of just how prevalent the human factor is in the scientific enterprise. Today, the future of a professional scientist is all too often dominated more by the economics of scarcity and branding, rather than science.What does all that have to do with potatoes in France?After a discussion about potatoes over lunch the other day, I stumbled across this beautiful tale, published in 1956 in the American Potato Journal on how the potato arrived in France in the 18th century: This endorsement of the potato and that of the various potato dishes served at the King's table were enhanced by placing a uniformed guard on Parmentier's potato plot. Parmentier's considerate removal of the guard at night during the harvest season is reported to have furthered the success of the potato with the King's subjects. This story so reminded me of scientific publishing. Wikipedia puts the story a little more bluntly: Parmentier therefore began a series of publicity stunts for which he remains notable today, hosting dinners at which potato dishes featured prominently and guests included luminaries such as Benjamin Franklin and Antoine Lavoisier, giving bouquets of potato blossoms to the King and Queen, and surrounding his potato patch at Sablons with armed guards to suggest valuable goods — then instructed them to accept any and all bribes from civilians and withdrawing them at night so the greedy crowd could "steal" the potatoes. Now I wouldn't know anything about bribes, but the part about creating artificial scarcity and a brand name to increase value for an ordinary object rang familiar.In a recent 'Opinion' article in one of the journals at the very top of the rank, Nature, the author correctly points out that this system of journal rank has many flaws and should be replaced by a more scientific system for the metric evaluation of science. She specifically calls for social social scientists and economists to be involved in developing this new system, underscoring the points above. Indeed, it is remarkable that our current journal rank system is still in place. After all, not only does the author and many scientists agree, but also the originators of the journal rank system, the high-ranking journals themselves and even some evaluators all have long realized that using journal rank to evaluate individual researchers is both "unfair and unscholarly". I have lamented this absurd state of affairs plenty of times right here and elsewhere. However, artificial scarcity and brand name have, by now, developed such a powerful dynamic, fueled by billions in taxpayer money and a rich history of great scientific traditions, that it seems unstoppable, even if all participating parties agree that putting an end to it would be better for science.It is with these powerful dynamics (and some analogous evolutionary dynamics) in mind that I posted an off-hand comment to the 'Opinion' article mentioned above. The comment stated that any, even the most complex and scientifically tested system will eventually succumb to social dynamics adapting the scientific community to the system and maximizing the individual participant's benefit while minimizing their costs. The only system that would be immune to such dynamics is one where the rules change more quickly than the social dynamics can follow:Wouldn't it be nice if metrics weren't needed? However, despite all the justified objections to bibliometrics, unless we do something drastic to reduce research output to an amount manageable in the traditional way, we will not have any other choice than to use them.However, as the commenters before already mentioned, no matter how complex and sophisticated, any system is liable to gaming. Therefore, even in an ideal world where we had the most comprehensive and advanced system for reputation building and automated assessment of the huge scientific enterprise in all its diversity, wouldn't the evolutionary dynamics engaged by the selection pressures within such systems demand that we keep randomly shuffling the weights and rules of these future metrics faster than the population can adapt?This comment will soon be published as a 'Correspondence' piece in the printed version of Nature. I'll update the post with the direct link as soon as it is online. Coincidentally, the current LaborJournal contains a letter from me, which states pretty much the same thing, with some additional information.Hougas, R. (1956). Foreign potatoes, their introduction and importance American Potato Journal, 33 (6), 190-198 DOI: 10.1007/BF02879217Lane, J. (2010). Let's make science metrics more scientific Nature, 464 (7288), 488-489 DOI: 10.1038/464488a... Read more »
Hougas, R. (1956) Foreign potatoes, their introduction and importance. American Potato Journal, 33(6), 190-198. DOI: 10.1007/BF02879217
Lane, J. (2010) Let's make science metrics more scientific. Nature, 464(7288), 488-489. DOI: 10.1038/464488a
by Björn Brembs in bjoern.brembs.blog
It is still unusual when the Catholic church allows a scientific study of one of their relics. So I was surprised to find the manuscript describing the study of the DNA of the remains of one of Europe's patron saints, St. Birgitta (Bridget of Sweden) in my PLoS One inbox one fine day in May, 2008. I'm a neurogeneticist by training, so I felt competent to take this manuscript on as academic editor. The manuscript stated that they had found through both DNA analysis and carbon dating that not only were the remains of St. Birgitta most likely not from the relevant time period, but that the remains stored with her, once thought to be her daughter, could not possibly have been from any of her relatives, let alone her daughter.Such claims, sure to stir some public attention, needed a thorough peer-review process. I selected a team of four high-caliber international experts in both the field of ancient DNA analysis and radiometric dating. I also used a scheduled visit to Uppsala, where the work had been done, to meet the last and corresponding author of the manuscript, Marie Allen, and have a good look at the laboratories where the experiments had been made. Marie was the most gracious host and took a lot of time out of her busy schedule to show me around her lab and explain how professionally she had handled the relics according to the latest techniques.The review-process was a lot more bumpy and time-consuming. The reviewers all liked the way she had handled and analyzed the DNA and only had minor suggestions for improvement in this respect. The radiocarbon dating itself was also ok, but two of the reviewers brought up the "reservoir effect". This could lead to a deviation in radiocarbon dating from the correct age if the two people had been on a high-seafood diet. To measure this reservoir effect, additional Nitrogen-dating techniques had to be applied. These proved difficult and time consuming, but after more than one year, the results were finally coming in. Indeed, there had been a measurable reservoir effect for both tested skulls, albeit not to a degree that would change the main conclusions of the study. Yesterday, almost 2 years after the initial manuscript had been submitted, the paper was finally published and I think both DNA and dating measurements are as accurate as they can possibly be, given today's technology. These measurements show that it is highly unlikely that the two skulls kept as relics by the Catholic church are the ones from St. Birgitta and her daughter. Most likely, not even one of the skulls comes from the person claimed by the church.Nilsson, M., Possnert, G., Edlund, H., Budowle, B., Kjellström, A., & Allen, M. (2010). Analysis of the Putative Remains of a European Patron Saint–St. Birgitta PLoS ONE, 5 (2) DOI: 10.1371/journal.pone.0008986... Read more »
Nilsson, M., Possnert, G., Edlund, H., Budowle, B., Kjellström, A., & Allen, M. (2010) Analysis of the Putative Remains of a European Patron Saint–St. Birgitta. PLoS ONE, 5(2). DOI: 10.1371/journal.pone.0008986
by Björn Brembs in bjoern.brembs.blog
The cliché scientist is often portrayed as the laborious worker slogging away days and nights in the lab. In contrast, the cliché for musicians or artists often comprises a bohemian lifestyle, full of parties, drugs and the occasional spurts of genius and frantic artistic expression. Reality, as always, is somewhere in-between. Artists need to work hard and laboriously to get something finished before the concert, recording or exhibition and scientists need to be creative and invest a lot of thought and effort into devising the new hypothesis or the clincher experiment. In his highly readable autobiography "Physics and Beyond" Werner Heisenberg of uncertainty-principle fame tells us that, when stuck with a complicated problem, he would have to leave the institute and spend time in nature, away from everything, waiting for the creative idea to solve the problem. In today's publish-or-perish scientific culture, such behavior is a young scientist's doom. Heisenberg received his Nobel Prize at the age of 31, an age where today's scientists barely get around towards their first or second postdoc and a tenured faculty position is still about a decade away, on average.It's been known for a very long time that creativity requires a so-called 'relaxed field', meaning an absence of outside stressor distracting from the thought processes at hand. I've written before about neurobiological research uncovering the biological basis for this requirement. Today I listened to a podcast from Radio National on the "Powerful Biology of Stress", which reminded me of that post. In the podcast, Bruce McEwen, one of the researchers the host, Natasha Mitchell, interviewed, mentioned research of one of his graduate students, Connor Liston. Connor Liston had conducted a series of experiments in rats which showed that when the animal, the rat, is challenged with a complex task in which it has to shift the meaning of cues that predict where a food reward is, if the task is difficult, having either a lesion of the prefrontal cortex which other people did, or chronic stress, reduces mental flexibility. Their ability to shift is not totally gone, it's just much slower and less efficient. Confirming much previous work, chronic stress reduces mental flexibility in rats and lesion studies pointed towards the prefrontal cortex. Connor Liston found that in the prefrontal cortex, under chronic stress these neurons are shrinking, the dendrites are shrinking and they're losing connections. So they are losing a very important input—it's a reversible process, if you stop the stress it will grow back. Chronic stress leads to dendritic pruning in the medial prefrontal cortex, which probably accounts for the loss in flexibility. So far, this research is interesting, but still on the level of the rat model system. How would this research translate into humans under chronic stress? Just over one year ago, Connor Liston published a study in PNAS about chronic stress in medical students who were preparing for their board exams. he used something called the perceived stress scale, which actually asks you questions about how much in control of your life you are in and what things are causing you to be stressed out. What he also did was to develop a human task which was very much like what he did with the rats, and they used functional brain imaging to define a circuit that was activated by this task. They could observe this circuit in these stressed students and they found that the more stressed out, the less efficient was the circuit, and they also showed an impairment on this behavioural task. While dendritic pruning cannot easily be studied in live human beings, it is tempting to speculate that also in humans this process takes place in our prefrontal cortex under chronic stress and causes you to fail in behavioral tests which require mental flexibility.This kind of research shows that not only were the old reports which connected creativity with what people at the time called 'a relaxed field' correct, we are now finding out what the neurobiological basis of this connection is. This research also demonstrates even more clearly how detrimental a stressful environment is for scientists: lacking the mental flexibility to think out of the box, to distance yourself from the problem at hand to maybe find the ingenious solution, stress postpones the progress of science. Forcing scientists into habits and grunt work, stress pushes science into dead ends and wasteful spending. Today, scientists finish their PhDs when they're just about to turn 30 and receive their first own grant in their 40s. During this decade, they live on short-term contracts and any failure to publish could mean the end of a life in science. For many 40-somethings, having been scientists for all their lives, never seen a company from the inside, a dry spell at any time in their career may mean the end to any middle-class life, with salaries being so low that no large savings would ever accrue. I'm not aware of any study investigating the reversibility of dendritic pruning after a decade of existential stress, but I'm willing to hazard a guess that a scientist's most formative years are not being used to their full potential by our current system and may even be detrimental for the final decades of a scientist's work. It is also conceivable that such existential stress incentivizes fraud and other misconduct in scientists who under normal circumstances would never be prone to such behavior.Interesting for my own research is the aspect that the critical factor deciding what is considered stress in these neurobiological studies, was whether or not the rats or humans had any control over their circumstances (restraint in rats and the exams in humans). My own research focuses on how the brain learns to control its circumstances and how it detects whether it is in control or not. Maybe one day my own research will contribute to a better understanding of how to contstruct a professional work-environment that fosters science, instead of stifling it.Liston, C., McEwen, B., & Casey, B. (2009). Psychosocial stress reversibly disrupts prefrontal processing and attentional control Proceedings of the National Academy of Sciences, 106 (3), 912-917 DOI: 10.1073/pnas.0807041106Radley, J. et al. (2005). Repeated Stress Induces Dendritic Spine Loss in the Rat Medial Prefrontal Cortex Cerebral Cortex, 16 (3), 313-320 DOI: 10.1093/cercor/bhi104... Read more »
Liston, C., McEwen, B., & Casey, B. (2009) Psychosocial stress reversibly disrupts prefrontal processing and attentional control. Proceedings of the National Academy of Sciences, 106(3), 912-917. DOI: 10.1073/pnas.0807041106
Radley, J. (2005) Repeated Stress Induces Dendritic Spine Loss in the Rat Medial Prefrontal Cortex. Cerebral Cortex, 16(3), 313-320. DOI: 10.1093/cercor/bhi104
by Björn Brembs in bjoern.brembs.blog
It turns out, operant conditioning is very different from other forms of learning, all the way from the genes up. When I started my research on operant conditioning in 1995, I did so with the opposite hypothesis, namely that the underlying mechanism of all learning processes was always synaptic plasticity with the well-known molecular pathway: Ca++, cAMP, PKA, CamK, CREB and so on. After all, wasn't that pathway conserved all the way from flies, snails and mice to humans? By the time I finished by PhD in 2000, Eric Kandel had received the Nobel prize for exactly these learning mechanisms - he wouldn't have gotten the prize if the pathways had not been so conserved. In principle, changing the weight of the synapses is all you need to do to store whatever information you want. There is no a priori need to have several different mechanisms by which neural networks are modified.A few years ago, I started getting data from fruit flies (Drosophila) that were exactly the opposite of what my initial hypotheis was: the genes required for standard synaptic plasticity (such as the rutabaga adenylyl cyclase) were not required in our form of operant conditioning. In contrast, a gene which had previously been shown not to be involved in classical conditioning, protein kinase C (PKC) turned out to be crucial for operant conditioning. What made the whole story even more intriguing was that the same evidence started to show up in the lab where I did my postdoc, using the marine snail Aplysia as a model system: PKC was required, but the rut-cyclase was not.Why had nobody discovered this dichotomy between the learning mechanisms before us? It turned out that the crucial experimental advance was to prevent the animals from learning about anything else besides their behavior. As soon as we let the animals learn about any external cues in addition to their behavior, the results go back to the expected canonical pathways being required and PKC not. Obviously, nobody had been able to completely isolate operant conditioning to the extent that was required. Because all our experiments were operant in nature, but only differed in whether or not the animals were able to learn about environmental cues or not, we called the PKC-dependent learning mechanism operant self-learning and the other, well-described form, operant world-learning.How far is this new form of plasticity (in Aplysia it is a form of 'intrinsic plasticity' modifying the entire neuron and not just the synapse; in Drosophila we don't know) conserved? We are currently in the process of writing up our experiments on the 'language gene' FoxP2. Drosophila has an orthologue of this gene and if we mutate it (or knock it down with RNAi), we find that it is required for operant self-learning, but not for operant world-learning, paralleling the results we had for PKC. This means we now have a new learning mechanism at hand that is clearly distinct from the well-known synaptic plasticity pathway, but is equally conserved among invertebrates and vertebrates. These results suggest an ancient evolutionary origin for operant self-learning, possibly at the root of the bilaterian branch, and a complementary role to world-learning.I have summarized these results in an invited review on occasion of the 2010 conference of SQAB in the journal "Behavioural Processes". Unfortunately, there are a few mistakes in the copy available from the publisher. Some spaces are missing between words and the references Brembs 2009a and Brembs 2009b are mixed up. I've notified the publisher, but they said it was too late to fix. I've now fixed the HTML version of my local copy, but I can't fix my PDF copy as they use a font that is not freely avaliable. So if anybody knows how I can fix my own PDF copy, please let me know!Brembs, B. (2011). Spontaneous decisions and operant conditioning in fruit flies Behavioural Processes DOI: 10.1016/j.beproc.2011.02.005... Read more »
Brembs, B. (2011) Spontaneous decisions and operant conditioning in fruit flies. Behavioural Processes. DOI: 10.1016/j.beproc.2011.02.005
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