Here is the link to a paper that just came out on "Social interactions in medaka".
sciencedirect.com/science/ar…
It's a story that was spearheaded by Roy Harpaz, where he looked into the fish's sensitivity to social cues, and how this sensitivity depends on the current swim state.
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4/ are just biased in the way we are looking, and in the way we are testing the different clades. Here is an example of stuff fish can learn piped.video/watch?v=cEAqBNIa…. I’d invite you to compare that to what we
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Here is a fun Bloomberg "Hello World" Video that just got released. It's about the connectomics efforts of the Lichtman and Engert labs.
piped.video/watch?v=OAWISbU9…
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8) Specifically, we propose that the animal calculates the "retinal clutter" in each eye, and then turns towards the lower clutter value at young ages, and towards the higher clutter value when they are older.
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7) Importantly, these virtual reality setting can then be used to dissect the precise details and algorithms by which the raw visual information projected on the retina is processed and transformed into appropriate motor commands.
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6) Both, the early avoidance and later emergent attraction, are readily replicated in virtual reality settings, where conspecific visual cues are replaced with projected dots on a screen, which confirms that the visual modality is sufficient to evoke the behavior.
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10) reconstruct all hair cells in the neuromast, all afferent neurites that send information from the hair cells to the posterior lateral line ganglion, all the efferent neurites from the cholinergic and dopaminergic nuclei and, importantly, all the synapses involved.
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Here is a video of five simulated fish swimming together that just follow the two rules described above. They are clearly schooling and shoaling :-).
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To come up with a plausible circuit implementation of this model, we used whole-brain calcium imaging. We found cells in the anterior hindbrain with very slow integration time constants, and a set of neurons that are well-suited to implement the thresholding operation.
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We find that this behavior is faithfully described by a simple leaky integrator model with a decision threshold.
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Check out this baby fish swimming in a noisy motion environment. Fish innately try to the follow global motion, but here it's not so clear how the world is moving. We find that with more noise, fish take longer to decide how to swim and make more mistakes.
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Proud to present Armin Bahl’s (@zwitscherarmin) fantastic paper on perceptual decision making in larval zebrafish in @NatureNeuro. This is an exciting first step in understanding the neural basis of an important but still poorly understood behavior.
go.nature.com/2LjudIS
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Just uploaded the results of Andrew Bolton's project on the algorithms underlying 3D hunting in larval zebrafish at BioRxiv.
biorxiv.org/content/10.1101/…
This was the first, of we hope many, collaborations with Josh Tenenbaum and Vikash Mansinghka's (@vmansinghka) groups at MIT
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The latest from Martin Haesemeyer, comparing artificial and biological neural networks - now published in Neuron! We find striking parallels and use the ANN to make testable predictions about the biology.
cell.com/neuron/fulltext/S08…
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One of the best books I have read in the last twenty years: "Factfulness: Ten Reasons We're Wrong About the World--and Why..."
It makes you a better person, and also a happier one...
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Under the hood: since larvae swim in punctuated bouts, we model their behavioral sequences as marked renewal processes. This allows us to sample from conditional probability distributions to select the timing and type of swim bouts and generate realistic behavioral patterns! 5/5
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With @scott_linderman, we construct probabilistic models to predict future behavior and simulate realistic behavioral trajectories through virtual environments. Our simulations capture multiple timescales of structure, from prey responses to hunger-related behavioral changes.
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Using the BEAST, we were able to track larval zebrafish tail and eye movements together with potential prey (like single-celled paramecia!) across 40 hours of video data.
In this snippet (slowed down to half-speed), a week-old fish snags a healthy snack!
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@blobology wanted to collect high resolution behavioral data of larval zebrafish swimming through a large naturalistic environment. To do this, he teamed up with Thomas Panier to design and assemble the BEAST. (animation by @KJHerr23)
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Online now in @ScienceAdvances is our lab's latest work! Led by post-doc Josua Jordi, we screened the effects of 10,000 compounds on the feeding (and other) behaviors of larval zebrafish to identify new appetite modulators.
advances.sciencemag.org/cont…
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The latest @biorxivpreprint by Martin Haesemeyer from our lab and @schierlab. Temperature representations in artificial and biological neural networks converge on a canonical solution. #ML #AI biorxiv.org/content/early/20…
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This is what accumulating evidence looks like in the brain of a larval zebrafish. If you want to know how this gets the job done, you're going to have to ask Armin!
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Sending Julius, Eva Naumann and Tim Dunn off to Duke.
All the very best of luck - it was the best thing having you in the lab.
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