Jay Hennig

Jay Hennig

@jhennig.bsky.social

Computational neuroscientist interested in how we learn, and dad to twin boys Asst prof at Baylor College of Medicine https://www.henniglab.org/

1,421 Followers 458 Following 103 Posts Joined Sep 2023
4 days ago

Thanks @natmesanash.bsky.social for covering our new work, in @thetransmitter.bsky.social!

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4 days ago
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New paper hot off the (pre-)press! We dig into the evolutionary origins of neural computations for behavioral control across mice, monkeys, and humans: www.biorxiv.org/content/10.6....

As our lab's first foray into comparative analysis of neural dynamics, I’m super excited about this work! 1/18

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1 week ago

I want to write a fun little post on what we've learned in neuroscience in the last 20 years. What are the most interesting results you can think of? Biggest trends?

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5 days ago
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Neural geometry in the human hippocampus enables generalization across spatial position and gaze Hippocampal neurons track positions of self, others, and gaze direction. However, it is unclear how their respective neural codes differ enough to avoid confusion while allowing for abstraction. We re...

Compositional representation of self, others, and gaze direction in *human* hippocampus - super cool.

arxiv.org/abs/2603.04747

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1 week ago
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Threading the needle: Practical considerations for merging theory-driven computational psychiatry with data-driven analytics to enhance precision health at scale The rapidly evolving field of computational psychiatry enables quantification of specific cognitive processes, and their underlying mechanisms, in a translational and potentially scalable manner, usin...

Excited to share our latest paper in which we discuss merging theory-and data- driven computational psychiatry in a large transdiagnostic cohort study (N=2400)

www.biologicalpsychiatrycnni.org/article/S245...

Christopher Pittenger, Godfrey Pearlson @annierhcheng.bsky.social @sobp-org.bsky.social

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2 weeks ago
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Compact deep neural network models of the visual cortex Nature - Parsimonious deep neural network models can be used for prediction of visual neuron responses.

DNN models of the brain are getting bigger. Are we replacing one complicated system in vivo with another in silico?

In new work, we seek the *smallest* DNN models of visual cortex, balancing prediction with parsimony.

It turns out these compact models are surprisingly small!

rdcu.be/e5H8G

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1 week ago
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Task learning increases information redundancy of neural responses in macaque visual cortex How does the brain optimize sensory information for decision-making in new tasks? One hypothesis suggests that learning reduces redundancy in neural representations to improve efficiency, whereas anot...

RIP redundancy reduction?

Beautiful work by Liu & colleagues showing that neural redundancy increases with learning, as predicted by a Bayesian model:
www.science.org/doi/10.1126/...

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1 week ago
dot plot of brain prize recipients by year, 2011–2025. each dot represents one winner, blue indicates male and red indicates female.

brain prize recipients over the years.

I remembered that I made this plot last year for a bias watch project (yes, because of that 2013–2018 period 🙃). the prize for this year will be announced later this afternoon, let's see. 🔮

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1 week ago

It's like DMV levels of bureaucracy

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1 week ago

The amount of pain I'm going through just to get an IRB protocol for running innocuous online behavioral studies...sheesh, do not recommend

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1 week ago
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How does the brain generalize past experiences without confusing memories? 🧠

Our lab's newest preprint reveals a fundamental division of labor between the cortex and cerebellum that solves this problem. (Check out the cortex-cerebellum video below! 👇) 🧵

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1 week ago
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I am totally pumped about this new work . "Task-trained RNNs" are a powerful and influential framework in neuroscience, but have lacked a firm theoretical footing. This work provides one, and makes direct contact with the classical theory of random RNNs:
www.biorxiv.org/content/10.6...

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1 week ago
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Recently, van der Stigchel and colleagues posted a provocative commentary suggesting that we should be wary of bots in online behavioral data collection (🧵by @cstrauch.bsky.social here: bsky.app/profile/cstr...). But should we? Here is my response letter osf.io/preprints/ps.... 1/5

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1 week ago
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Claude Code 27: Research and Publishing Are Now Two Different Things Some Claude Code fan fiction about the economics of publishing with AI agents set in the very near future

This post really put together the pieces in a way that floored me. Everything is about to change and we have to confront that reality causalinf.substack.com/p/claude-cod...

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2 weeks ago

After several years of work, my lab is starting to put out our first papers on learning in a unicellular organism (Stentor coeruleus).

Here we show evidence for a form of associative learning in Stentor:
www.biorxiv.org/content/10.6...

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2 weeks ago

NYU's Center for Neural Science is seeking a faculty candidate that would be jointly appointed with our Tandon School of Engineering. We are looking for post-doc applicants with neuroengineering or computational backgrounds.

apply.interfolio.com/182074

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2 weeks ago

Oh nice yeah I agree!

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2 weeks ago

I dunno if it's true that all lines are straight and parallel. I'm guessing that these little guys, with their bendy lines and implied slant, are doing a lot of the work here

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3 weeks ago

🚨🚨New Preprint Alert!🚨🚨

www.biorxiv.org/content/10.6...

Animal learning is painfully slow (at least initially). Yet, well trained animals can learn very fast, sometimes displaying few-shot inference. How does this transition occur?

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3 weeks ago
PNAS Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...

Bots have made their way to Prolific experiments. Our lab has stopped online testing of adults entirely now for this reason - we want to know if what we study is real. Probably data collected 2-3 years ago are ok, but moving forward we just can't know. www.pnas.org/doi/10.1073/...

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3 weeks ago

Hippocampal trace coding dominates and disrupts place coding https://www.biorxiv.org/content/10.64898/2026.02.17.706430v1

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3 months ago
OSF

A new preprint "Anxiety Modulates Event Segmentation" with @yaelniv.bsky.social and colleagues!
osf.io/preprints/ps...

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3 weeks ago

@r74n.com

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3 weeks ago

Just fyi I think this was actually created in 2021 by R74n, and has just recently moved to being hosted on neal.fun

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3 weeks ago
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Neuronal spiking in the mammalian forebrain is dominated by a heterogeneous ground state Neuronal firing patterns have significant spatiotemporal variability with no agreed-upon theoretical framework. Using a combined experimental and mode…

With this one in print, I think I finally earned that PhD... 😅
Presented for the first time at the cosyne when the world ended (March 2020). I'll bring over a summary thread from twitter when it was still twitter...

www.sciencedirect.com/science/arti...

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3 weeks ago

This is really cool work Dan! I'm curious whether you've looked at correlated firing in the GS modes and if there's anything interesting going on at that level

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3 weeks ago

1 + "...despite trying desperately to work around this restriction"

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3 weeks ago

Johnny Cash - Ring of Fire (!)

and not all-time greats, but other options:
Animal Collective - For Reverend Green
Dismemberment Plan - Spider in the Snow

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3 weeks ago

Thrilled to finally share this work! 🧠🔊

Using a new reinforcement-free task we show mice (like humans) extract abstract structure from sound (unsupervised) & dCA1 is causally required by building factorised, orthogonal subspaces of abstract rules.

Led by Dammy Onih!
www.biorxiv.org/content/10.6...

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1 month ago

I've been inspired to become a founder of a new startup that develops brain-to-brain interface technology. It's called Talk. We're going to reinvent communication for the digital age.

The best part is that we're able to zero-shot transfer the full computational stack already used by your brain!

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