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Jul08

Flashback: The neurobiology of self-learning

In: blogarchives • Tags: classical, conditioning, Drosophila, mice, operant, self-learning, transgenic

During my flyfishing vacation last year, pretty much nothing was happening on this blog. Now that I’ve migrated the blog to WordPress, I can actually schedule posts to appear when in fact I’m not even at the computer. I want to use this functionality to re-blog a few posts from the archives during the month of august while I’m away. This is the first post in this series, just to see if it works and what needs to be tweaked. This post is from October 31, 2011:

 

It’s been a while since I’ve last been so excited about a new finding by someone else And until today, this paper from last week even flew completely under my radar. I had seen the title and decided it’s not relevant. A collaborator of mine sent it to me after she found it searching for a current affiliation of a former postdoc of hers – which was how she realized how pertinent this work was to our research and sent it to me (which says something about the way scientists are able to stay on top of the literature. Note to self: write separate post!).

This paper detailing experiments in transgenic mice joins a pair of papers in invertebrate model systems ( Aplysia and Drosophila), suggesting that brains have two distinct molecular learning mechanisms, one to learn about relationships among events in the world around them and one to learn about the effects of their own behavior on the world. This distinction shares several conceptual features with the distinctions that have been made between operant conditioning and classical conditioning or between declarative and procedural memory, and several other related dichotomies, but is yet slightly different.

Here’s a drastically simplified diagram of what the current canonical pathway looks like for ‘synaptic plasticity’, the kind of physiological process that modifies the connections between neurons in order to store memories (screenshot from one of my talks):

canonical_small.png

Briefly, the to-be-remembered information is translated into neuronal signals which are eventually translocated into the memory-storing neuron, where an adenylyl cyclase (encoded by the rutabaga gene in flies) generates cAMP, which activates Protein Kinase A (PKA), which in turn eventually activates a protein with the acronym CREB. CREB is a transcription-factor switching on genes which modify the neuron, storing the memory. Not shown is how PKA can itself also modify the neuron to allow memories to form almost instantaneously, without the need for protein synthesis (which takes a while). OK, this is really extremely simplified, but the important point here is that there is no Protein Kinase C (PKC) involved. In fact, PKC has been shown to either not be involved at all, or only to maintain the memory, long after it’s been formed. The cool thing about this learning mechanism (and why its discovery got the Nobel Prize in 2000) is that you find it in all bilaterian animals, e.g. flies, snails and mice.

In 2008 I wrote here about one of our publications that we had discovered a ‘Skinnerian‘ learning mechanism, which did not require the rutabaga gene, but PKC. Back then we couched the discovery in terms of the 70-something year-old debate about whether operant and classical conditioning share a common learning mechanism or not. The idea was that operant conditioning involves learning about the consequences of one’s behavior while classical conditioning involves learning about the ring of a bell being followed by food For this experiment, we used the genetic toolkit of Drosophila to express an inhibitor of PKC (PKCi) in all cells of the fly only during the experiment. These flies had trouble learning an operant task in which all external cues had been removed, but as soon as ‘classical’ cues were added, they learned just fine.

This discovery was followed in the same year by a paper from my postdoctoral lab that showed basically the analogous outcomes in the marine snail Aplysia. This got me very excited: flies and snails? What about the chordates?

conservation_small.png

In their new paper, Rochefort et al. express the same PKCi peptide that we had used in our fly study in the cerebellum of mice. They use these mice to perform orientation and navigation experiments in which the animals either have to rely on self-motion cues (procedural learning) or on the position and identity of external cues (declarative learning) to find a particular location. It turned out that in all three of their experiments, whenever the animals could rely on external cues, they learned to find the location just fine. However, when the cues either were removed or arranged in a way to conflict with each other, the mice showed a severe decrement in performance. In other words, also these colleagues found a PKC-dependent form of learning which is mainly concerned with the behavior of the animal itself and less with learning about events in its environment.

Are these experiments in three model systems enough to make a strong claim there we are in the process of opening up a new field of research, the study of ‘self-learning‘? I wouldn’t think so if we wouldn’t have yet another piece of evidence up our sleeves: we are currently in the process of submitting a manuscript that details our results on the fly gene most closely related to the ‘language gene‘ (that wasn’t), FOXP2. Briefly, language acquisition can be thought of as an operant process: babies babble and use the auditory feedback of what it sounded like when they babbled to change their babbling – eventually into language. Songbirds learn their songs in a quite similar way. Both humans and songbirds have trouble learning their respective vocalizations if the gene FoxP2 is not intact. So we went and looked for a homologous gene in Drosophila, found it (dFoxP), manipulated it and found that the manipulations had the same effect as the PKCi expression: self-learning was affected and world-learning wasn’t.

Thus, we (several different labs independently) now appear to have discovered not one, but two components of this new self-learning mechanism, PKC and FoxP:

nuplast_small.png

In fact, evidence from Aplysia suggests that this mechanism also includes cAMP, but form a different cyclase and activating a different sort of PKA. However, this has not been tested in the other systems, so far.
Thus, I think there now are too many converging results from very disparate experiments to just be chance. I now have the very strong suspicion that we are on the cusp of the birth of a new research field: the neurobiology of self-learning.


Rochefort, C., Arabo, A., Andre, M., Poucet, B., Save, E., & Rondi-Reig, L. (2011). Cerebellum Shapes Hippocampal Spatial Code Science, 334 (6054), 385-389 DOI: 10.1126/science.1207403

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Posted on July 8, 2013 at 19:41 Comments Off on Flashback: The neurobiology of self-learning
Jul05

Tweetlog: neuroscience and #openaccess

In: Tweetlog • Tags: neuroscience, open access, Twitter

This is the tweetlog covering July 3-5:

  • Interesting! We find something similar in flies: Live fast, die young: Long-lived mice are less active https://feedly.com/k/16RDz21
  • It smells fishy: Copper prevents fish from avoiding danger https://feedly.com/k/12gw14F
  • @biocs @google Yes! I hated to receive the message that Google essentially tries to kill RSS technology https://img.ly/vE3J
  • A Selfish Genetic Element Influencing Longevity Correlates with Reactive Behavioural Traits in Female House Mouse. https://dx.plos.org/10.1371/journal.pone.0067130
  • June 30, 2013 Dramatic Growth of Open Access https://feedly.com/k/18znPVA
  • Optogenetic Perturbation of Neural Activity with Laser Illumination in Semi-intact Drosophila Larvae in Motion https://feedly.com/k/13oKSBs
  • The causes of variation in learning and behavior: why individual differences matter https://shar.es/A5o4M
  • Joint statement on Europe’s Open Data Pilot from OpenAIRE, LIBER, and COAR “The European… https://goo.gl/fb/qjdTU
  • Horizon 2020 – Outline of a Pilot for Open Research Data: Joint statement by OpenAIRE, LIBER and COAR https://ow.ly/mFEpW  #opendata
  • Martin Paul Eve considers how open access might influence quality control and the future of peer review – https://www.socialsciencespace.com/2013/07/martin-paul-eve-considers-how-open-access-might-influence-quality-control-and-the-future-of-peer-review
  • Automated High-throughput Behavioral Analyses in Zebrafish Larvae https://www.jove.com/video/50622/automated-high-throughput-behavioral-analyses-in-zebrafish-larvae
  • When will we get proper hyperlinks in scholarly communication? https://buff.ly/12fctgN
  • Operant trial and error learning: Cockatoo cracks lock with no prior training https://buff.ly/1aFyKO9
  • Waiting for the lame excuses as to why Nature fails to round 38.597 to 39… pic.twitter.com/qm052J2KgQ
  • How Beliefs in Extraterrestrials and Intelligent Design Are Similar https://buff.ly/15hqX52
  • Science standards in US classrooms: Evolution makes the grade https://feedly.com/k/1cTC312
  • #devbio #wnt Home truths and ugly facts about Wingless in #drosophila https://bit.ly/16QLjBu
  • Plasticity in the Drosophila larval visual system https://feedly.com/k/12IBm4t
  • Retraction of 19-year-old Nature paper reveals hidden cameras, lab break-in, evidence tampering https://wp.me/pYKlt-3Rx
  • Delighted to have 11 really strong postdoc applications out of a total of 32 complete applications. How to narrow down to a short-list?
  • No, the whole planet should rid themselves of this disgrace: “Latin America should ditch impact factors” https://feedly.com/k/1cTCeJA
  • Operant behavior: Explorative Learning and Functional Inferences on a Five-Step Means-Means-End Problem in Cockatoos https://buff.ly/1aFyY7V
  • Operant learning: Cockatoos show technical intelligence on a 5-lock problem https://www.eurekalert.org/pub_releases/2013-07/uov-amc070313.php#.UdVaarcgihM.twitter
  • Call to libraries: Biology must develop its own big-data systems https://feedly.com/k/1cTBLHf
  • Awesome, more evidence: Long-Range Correlations in Resting-State Oscillations Predict Timing-Error Dynamics https://feedly.com/k/1cTzxro
  • Short summary of a smart experiment: Opening the black box: dopamine, predictions, and learning https://feedly.com/k/1cTy9oW
  • “your government does not trust you. Why therefore should you trust it?” https://gu.com/p/3h3m9/tw
  • Hmmm? “Yawning manifests a process of increasing clearance of somnogenic factors in CSF” https://feedly.com/k/1cTwUWE
  • The dysfunctionality of the scholarly literature: hyperlinks https://wp.me/p3walV-4y
  • ArduiPod Box: A low-cost and open-source Skinner box using an iPod Touch and an Arduino microcontroller. https://feedly.com/k/1cTwlfp
  • I liked a @YouTube video https://youtu.be/e_44G-kE8lE?a  Michael Dickinson: How a fly flies
  • Glühwürmchen und die Frage nach dem Sinn allen Forschens https://feedly.com/k/1cTB5So
  • Scaling-Laws of Human Broadcast Communication Enable Distinction between Human, Corporate and Robot Twitter Users https://dx.plos.org/10.1371/journal.pone.0065774
  • Libertarianism and Human Agency. Alfred Mele 2011 https://onlinelibrary.wiley.com/doi/10.1111/j.1933-1592.2011.00529.x/abstract
  • Science metrics, LitRoost, and the networked era https://www.theunstudent.com/2013/07/science-metrics-litroost-and-the-networked-era/ via @@mikhailklassen
  • Drosophila pseudoobscura: a model fruit fly for the real world https://blogs.scientificamerican.com/compound-eye/2013/07/03/drosophila-pseudoobscura-a-model-fruit-fly-for-the-real-world/?WT.mc_id=SA_sharetool_Twitter … via @sciam
  • If publishers would only let us: “A text-mining system for extracting metabolic reactions from full-text articles.” https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3475109/?report=reader
  • Nice article: MT @WiringTheBrain Compulsivity and Free Will – nice, short overview by Damiaan Denys https://journals.cambridge.org/action/displayAbstract?fromPage=online&aid=8947414
  • NIH sees surge in open-access manuscripts https://blogs.nature.com/news/2013/07/nih-sees-surge-in-open-access-manuscripts.html

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Posted on July 5, 2013 at 15:06 Comments Off on Tweetlog: neuroscience and #openaccess
Jul05

…and now for some lock-picking cockatoos

In: random science video • Tags: cockatoos, exploration, operant, trial and error, video

Yesterday, Alex Kacelnik published yet another fascinating discovery – one of many over the years out of his lab. This time, they show how birds can pick even five consecutive locks to get to a food reward:

According to the authors, the birds solve this problem by trial and error, i.e., in the operant, goal-directed way, which is the learning mechanism we study in our lab.

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Posted on July 5, 2013 at 13:23 Comments Off on …and now for some lock-picking cockatoos
Jul04

The dysfunctionality of the scholarly literature: hyperlinks

In: science politics • Tags: hyperlinks, literature, publishing, scholarly communication

This morning I was reminded of the age of some of the technology we’re using. Hyperlinks were developed at Stanford University and first demonstrated by their inventor Douglas Engelbart (using the first mouse) in 1968:

The Mother of All Demos, presented by Douglas Engelbart (1968)
The Mother of All Demos, presented by Douglas Engelbart (1968)

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On Tuesday, Douglas Engelbart died, even before the scholarly literature was able to fully implement the technology he invented, 45 years and counting. You might wonder if I could provide you with evidence for the outrageous claim that such a standard technology that the internet (also invented by scientists) has been using for over 20 years cannot be used in the scholarly literature. Well, just go to any experimental paper and search for the methods section. Very often, you will find references there to previous work such as “experiments were performed as previously described (ref)”. If you read this in a PDF file, most likely all you will see then is a reference to the other paper. If you are lucky and read it in the HTML version online, you might get to see a link at the reference, sort of like this one (click for larger version):

hyperlinks

If you’re even more lucky, that link takes you to a paper that you can read and search for the actual passage where they describe the method. If you’re less lucky, you hit a paywall. But even if you get to read the paper, there may be just a reference to yet another paper and so on. In short, chances are, that you will have to spend considerable amount of time and effort (and perhaps money) if you want to find out what the authors actually did.

Why can’t we just link to the passage in the paper where the procedure is actually explained and then, when anybody clicks on that link, the pertinent section of the reference pops up? After all, this is what everybody else but scientists have been doing for over twenty years. When will scientists catch up to the rest of the world?

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Posted on July 4, 2013 at 10:54 1 Comment
Jul03

Trying a new feature: Tweetlog

In: Tweetlog • Tags: Twitter

Following the example of Glyn Moody, I thought I’d start a log on the tweets I send around. One never knows what’ll happen to Twitter and besides, this provides a neat place to store and find everything. So here are the tweets for July first and second:

  • Where are we, what still needs to be done? Stevan Harnad on the State of Open Access https://poynder.blogspot.com/2013/07/where-are-we-what-still-needs-to-be.html
  • #Snowden could be offered witness protection in potential German federal anti-spy lawsuit (in German) https://spon.de/adYDF
  • Check out the slides from the talks at the @SPARC_EU session last week: https://sparceurope.org/presentations-sparc-europe-open-session-2013/
  • My latest upload : Sparc munich on @slideshare https://buff.ly/1cLdmUv
  • Mike Taylor’s brilliant analysis of #openaccess https://buff.ly/11WmBzH
  • Molecular and cellular mechanisms of dopamine-mediated behavioral plasticity in the striatum https://rss.sciencedirect.com/action/redirectFile?&zone=main&currentActivity=feed&usageType=outward&url=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob%3DGatewayURL%26_origin%3DIRSSSEARCH%26_method%3DcitationSearch%26_piikey%3DS1074742713001056%26_version%3D1%26md5%3D328fc434bdba93f4374527256f8e9d5f
  • Open Access: Where are we, what still needs to be done? https://feedly.com/k/10v2kAg
  • Can GlamMag editors/authors count? Last sentence in abstract of https://www.nature.com/ng/journal/vaop/ncurrent/full/ng.2676.html … via @Lab_Journal https://www.laborjournal.de/blog/?p=6531
  • Can’t wait to hear what they say when they find out about Drosophila and FoxP 🙂 From the Mouths of Babes and Birds https://buff.ly/128Vwoc
  • @Druidaeduardo The brain makes the mind real much like it makes colors real (analogy from Dennett): https://bjoern.brembs.net/2013/06/free-w
  • Human behaviour: is it all in the brain – or the mind? https://gu.com/p/3gq5j/tw
  • Enough rhetoric. It’s evidence that should shape key public decisions https://gu.com/p/3hx3p/tw

That’s that for now. We’ll see how frequently I’ll be updating this category and for how long I manage to do it.

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Posted on July 3, 2013 at 09:19 Comments Off on Trying a new feature: Tweetlog
Jun29

Amazing bead chain experiment

In: random science video • Tags: fun, physics, video
Amazing Slow Motion Bead Chain Experiment | Slow Mo | BBC Earth Explore
Amazing Slow Motion Bead Chain Experiment | Slow Mo | BBC Earth Explore

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via io9

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Posted on June 29, 2013 at 14:49 Comments Off on Amazing bead chain experiment
Jun27

#icanhazpdf more public than a publication?

In: science politics • Tags: Drosophila, open access, publishing, Twitter

This anecdote made my day today. On a Drosophila researcher mailinglist, someone asked if anybody on the list had access to the Landes Bioscience journal ‘Fly‘. I replied by wondering that if #icanhazpdf on Twitter didn’t work, the days of ‘Fly’ are probably counted, with nobody subscribing. A few minutes later, the author of the original email replied that he hadn’t dared using #icanhazpdf before emailing the list because the idea in the paper he was interested in was so easy to scoop, that he didn’t want people to know about the paper. He feared that the “broadcast approach” of #icanhazpdf would alert people to the paper!

In other words, at least in the perception of this one colleague, as long as nobody would draw attention to a peer-reviewed publication using Twitter, chances are low that anybody would pay attention to it. Obviously, the fact that a niche journal is behind a paywall contributes to this perception:

I'm amused that @FlyBaseDotOrg doesn't have free access to "Fly". I remember Michael Ashburner saying the lack of #oa would make it fail.

— Dr. Boris Adryan (@BorisAdryan) June 26, 2013

It is testament to our dysfunctional communication system that Twitter is perceived as a better medium to make a discovery public than a publication in a peer-reviewed, scientific journal. In a variation of an old saying, one could say: “if it isn’t on Twitter, it isn’t published”.

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Posted on June 27, 2013 at 13:03 Comments Off on #icanhazpdf more public than a publication?
Jun21

Funder mandates: Are scientists like junkies?

In: science politics • Tags: funders, mandates, open access, publishing

Mike Taylor wrote about how frustrated he is that funders don’t issue stronger open access mandates with sharper teeth. He acknowledges that essentially, the buck stops with us, the scientists, but mentions that pressures on scientists effectively prevent them from driving publishing reform. Obviously, from the scientist’s perspective, this is a classic collective action problem: every scientist who would start boycotting corporate publishers would be risking their livelihood. On the other hand, if we all started to publish exclusively in a world-wide, federated scholarly communication system, based on a collective of SciELO or SHARE-like platforms, we would not only save billions in publishing costs every year and provide fully open access as an added benefit, but also no scientist would risk anything.

As I see it, there are two (clearly not mutually exclusive) approaches to this problem:

1. Ask for outside help. One can see scientists like junkies: they are addicted to publishing in the journals of parasitic publishers and can’t possibly wean themselves from their fix. This appears to be Mike’s position and Stevan Harnad‘s (although they probably might disagree on green vs. gold details). There is no doubt that this would work, if implemented as Mike and Stevan (and many others) argue. Thus, of course, it would be foolish to not embrace and welcome funder mandates.

2. Work on removing the pressures on scientists that prevents them from collective action. The fix is essentially mediated by the hierarchy of journals which bestows prestige on scientists and which decides who gets to keep their livelihoods and who don’t. To address this issue, we recently published a paper in which we outline that there is no empirical foundation for journal rank, in an attempt to effectively remove the fix.

While both approaches need to be pursued, personally, I strongly favor the second route. It annoys the hell out of me that we scientists creep and crawl on all fours to politicians, funders, publishers asking them to force us to do something we should bloody well be able to do ourselves: we broke the system, we fix it. Begging others to save us from the hell we created for ourselves is probably the one single most annoying aspect of the entire situation. We’re already living and researching off of people’s taxes and now we ask yet more for help – isn’t there anything we can do ourselves? Can’t we even get our own house in order without the help from someone who doesn’t have any direct responsibility for the quagmire?

I just can’t get over the humiliation that urging funders to do what we should be doing is essentially like saying: “we’re too weak to do it ourselves, please, in addition to all the money we’re already getting from you, could you please also do the mandates for us and, while you’re at it, shell out the dough to police and enforce the mandates?”

Funder mandates are great. They have been instrumental in getting us as far as we have gotten and while they are humiliating, they get the job done and work as advertised. Mike is correct in that they could have more teeth, but at least the funders have gotten the ball rolling with approach #1. When will we start to do our part and launch approach #2? Where’s the response from scientists saying: “thank you funders, here’s what we will do!” Instead, we keep pleading for yet more help.

Where’s the quid pro quo from us scientists? Does it always have to be a one-way highway of public service to the scientific community and none out of it? Is the scientific community really such a black-hole of public goods? Or is that just my myopic perspective?

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Posted on June 21, 2013 at 15:27 2 Comments
Jun20

Free will: it’s not what you think it is

In: science • Tags: brain, free will, magic, nonlinearity

To my knowledge, no neuroscientist hypothesizes that there is magic in our heads. However, it appears this is a hypothesis that flies by the editors at the New York Times. The title of this op-ed piece says it all: “beyond the brain”. The author, David Brooks, claims: “The brain is not the mind.” Last I looked (which was a few seconds ago, I admit), beyond the brain was the Pia mater, the subarachnoid space, the Arachnoid, the dura mater and the skull. I wonder, just where precisely does the magic mind sit, if it’s not the brain? In the subarachnoid space, squeezed between layers of connective tissue and blood vessels? Or is it even beyond the skull, hovering above our heads? Now, Mr. Brooks doesn’t mention the Psychokinetic Energy Meter, but he makes it sound as if in his world this is the scientific instrument with which one would measure the capacity of the mind to move the body. Probably most disappointingly, Mr. Brooks bolsters his magic-mind hypothesis with the classic argument from incredulity: ‘I don’t understand it, so it must be magic’: “It is probably impossible to look at a map of brain activity and predict or even understand the emotions, reactions, hopes and desires of the mind.” This is like saying “it’s probably impossible to build a heavier-than-air flying machine” before the Wright brothers’ first flight. More disturbingly, it’s like saying: “I don’t understand no evilution, therefore magic man dunnit”.

Mr. Brooks caps his magic-mind hypothesis off with a few short paragraphs essentially saying “we have free will because I think so, free will is magic, so there’s magic in the head – and science is too limited to get into magic, don’t you forget that!” Given that his main point is that the mind is magic, one can only assume that he means neuroscience is too limited to understand free will sort of like medicine is too limited to understand homeopathy and physics is too limited to understand astrology. This final point is probably the only accurate statement of the entire piece: magic in the head is about as thoroughly debunked as homeopathy or astrology.

What we call ‘mind’ exists in a similar way as colors exist: our brain creates it. Colors are real in the sense that our brain makes colors real, it constructs a reality with colors, but spectral properties of light are not colors. Just like colors, the mind, free will, are real, but not in the way Mr. Brooks apparently thinks: they’re not magic. Neural activity makes our minds just as real as colors, but neither are magic nor do they exist outside of our heads. The fact that we don’t understand, yet, how the brain does that, is not a valid reason to explain our ignorance away with magic, but a boon to neuroscientists (or we’d be unemployed). The correct answer to the question: “what is the mind?” is not “magic”, but “we don’t know how, but all the evidence says it’s our brain that somehow creates it”.

This very fundamental insight of the last 40 years or so of neuroscience, obviously entails that with every discovery we will be better able to predict future actions. If that seems disappointing, tough luck, live with it. Today, we clearly cannot “take pretty brain-scan images and […] use them to predict what product somebody will buy”, this is pop-neuroscience. However, much like we got better at predicting the weather by studying it, we will get better at predicting future actions by studying the brain – as we have already become much better over the last decades. Importantly, and I cannot stress this enough, we don’t need magic to understand that we will nevertheless, not even with unlimited time and resources, never be able to fully predict human behavior. Just like no neuroscientist postulates magic in our heads, no meteorologist would postulate that it’s magic that prevents us from making accurate weather forecasts and no astrophysicist would claim that magic messes with Pluto’s unpredictable orbit. Apparently, it will take a few more decades until it sinks in that the brain is a little more complex than the weather or our solar system. Anybody who thinks that the brain needs magic to bring about the mind with free will thoroughly underestimates it. Everybody and their grandma today has already realized that complex nonlinear dynamics (“butterfly effect”, “chaos” – coincidentally coined in the same decade that dualism essentially died) prevent accurate weather forecasts on a principle basis, not out of technical problems. These effects even make the orbit of Pluto unpredictable! The data from brain recordings and behavioral studies show mathematically analogous nonlinearities, which lead to the predictability of behavior to decay exponentially with the forecasting period even in flies. Clearly, one can assume that humans are less nonlinear and more predictable than flies as apparently Joshua Greene at Harvard seems to postulate, but even as a fly researcher, I find that somewhat hard to accept. But hey, what does a fly guy know? Be that as it may, as long as humans are equally or less predictable than fruit flies, the data from our own little lab alone already alleviate Mr. Brooks’ fears: brains will not become fully predictable with more neuroscience, only gradually more so.

It seems there is a deep-seated frustration that science explains away magic, even in otherwise science-o-phile individuals. More and more research (some of it reviewed here) is accumulating that demonstrates that not only our flies, but many, perhaps all animals have the capacity, given the right circumstances, to make different decisions under identical circumstances. In fact, as has often been argued (review here) before, such protean behavior is a prerequisite and an inevitable outcome of evolution. Why should animal brains possess this capacity and human brains not? If this kind of free will disappoints you, tough luck, live with it. Free will is the capacity of the brain to make decisions that are influenced by all the events leading up to the decision, but not determined by them. Free will is a brain capacity that is of course determined by neural activity, but the neural activity is no more deterministic than the weather is. In fact, I would postulate that our brains are even less deterministic than the weather. Call it wiggle-room, or elbow room, the nonlinearity of decision-making relegates the question of just how deterministic the brain really is to a (highly interesting!) academic debate: in practice, brains will always be less predictable than the weather, irrespective of any quantum effects playing a role or not. This modern, scientific concept of free will emphasizes that our freedom can of course not be absolute. Freedom is always a matter of degree, of shades of gray between the blacks and whites of determinism and stochasticity. In fact, this is precisely how such nonlinearities operate, by implementing deterministic and stochastic components to create phenomena that are neither fully deterministic nor completely stochastic. As we understand the deterministic components better, we get better at predicting nonlinear behavior, but the very nature of all of these systems fundamentally prevents fully accurate forecasts. In reality, we create robots with free will, we even start to understand the neurophysiological mechanisms by which neural processes become unpredictable, but Mr. Brooks writes in the NYT that because he doesn’t understand how the neurons are doing it, it must be magic.

For the life of me, I have no idea what is getting into people like Mr. Brooks who at least give off the very succinct impression that they fear that the human brain needs magic, or else we might one day understand it too well for our own good. Have they no respect for the lump of tissue between their ears? At least he gets a thorough bashing in the many of the comments and of course by the inimitable Neurocritic.

One of our graduate students might have just discovered the neural circuit that allows fly brains to decide which way to turn, even in a virtual environment without any cues. Now please excuse me while I go back to explaining away some magic by studying fly neurons.

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Posted on June 20, 2013 at 19:30 8 Comments
Jun19

One more reason to publish negative results

In: science • Tags: cartoon, fun, negative results, open science

It might just save your life (via Upturned Microscope):

negative results

BTW, even if your life is not at stake, someone else’s may be. So you should publish your results if you are sure something definitely will not work, for instance in F1000 Research, where you can publish negative results for free until August 31, 2013. Your colleagues will be grateful.

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Posted on June 19, 2013 at 20:15 Comments Off on One more reason to publish negative results
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