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/

🚨Now out in Science Advances @science.org: #Parkinson's patients off dopamine medication (PD-) explore too much and exploit too little. Modeling shows they overvalue uncertainty, not that they choose randomly. On levodopa (PD+) they become comparable to controls www.science.org/doi/10.1126/... 🧵👇

Dopamine depletion in Parkinson’s increases directed but not random exploration

Levodopa restores the balance between exploration and exploitation in Parkinson’s disease.

science.org

If an action results in error, each neuron requires an individualized teaching signal that guides change in its output. This is the credit assignment problem of learning. Are there neurons in the brain that can compute such a sophisticated teaching signal? Yes. www.biorxiv.org/content/10.6...

Climbing fibers encode the gradient of a loss function for the cerebellum

Neurons in the brain are often many synapses away from motoneurons, yet if a movement results in error, each distant neuron needs a teacher that considers its specific contribution to production of th...

biorxiv.org

Why do people stop pursuing goals they care about❓ Motivational deficits are among the most disabling symptoms, yet current treatments often have only modest effects. In @lillyt.bsky.social new paper, she asks if we're missing an important piece of the puzzle 🧠 #neuroscience #cogpsyc #psychscisky

Arousal shapes motivation: an integrative framework for understanding motivational deficits - Translational Psychiatry

Translational Psychiatry - Arousal shapes motivation: an integrative framework for understanding motivational deficits

nature.com

"..CA3 operates as a nonlinearly gated scene constructor and CA1 as a continuous landmark integrator to build and maintain the cognitive map." How visual scenes recruit spatial maps: threshold-gated activation in CA3 versus continuous integration in CA1 Inah Lee Lab: www.biorxiv.org/content/10.6...

How visual scenes recruit spatial maps: threshold-gated activation in CA3 versus continuous integration in CA1

The hippocampal cognitive map is constructed from environmental sensory inputs, but the conditions that recruit a spatial map from a quiescent baseline remain unclear. Using a parametric virtual reali...

biorxiv.org

6/ A complex, modulated, information-rich song says more, but it degrades fast as it travels. A simple song says less, but it survives the trip. So every species faces a trade-off between how much a song says and how far it carries.

The cerebellum plays a role in motor learning and reinforcement learning. But does cerebellar learning generalize to all sorts of tasks? Here we test strong prediction: that cerebellar activity tracks passively learned sensory-sensory associations (statistical learning). See below for the answer!

bioRxiv Neuroscience@biorxiv-neursci.bsky.social · 2w ago

Unsupervised nonmotor learning in the human cerebellum https://www.biorxiv.org/content/10.64898/2026.07.22.740142v1

Remember when NIH Director Jay Bhattacharya said there were no banned words and NIH Program Officers were making them up? Here’s the proof he lied: apnews.com/article/cali... I know, Jay Bhattacharya lying is not news. But it’s still really validating to have the admission.

White House admits it used keywords to kill billions worth of California research grants

Federal agencies that terminated more than a thousand research grants at the University of California last year admitted that they used keywords related to diversity, gender, vaccine hesitancy and COV...

apnews.com

Hard to overstate the importance of this paper. Acategoricality and mixed selectivity together kill a lot of sacred cows. For starters, place cells aren't real, in that they are not a meaningful category. They are just a thing we scrape out of the data. Scientists focus on them because...

Columbia University's Zuckerman Institute@zuckermanbrain.bsky.social · 3w ago

Scientists have long debated whether neurons are jacks of all trades or tend to specialize in one thing. Now @stefanofusi.bsky.social, @lorenzoposani.com & Liam Paninski present new evidence in @nature.com shedding light on how the brain performs complex tasks. tinyurl.com/yj3ew8en

During sleep, neurons in the hippocampus 'replay' past activity patterns. This is thought to underlie memory consolidation 🧠 After a busy day, how does the brain sort out what is worth replaying? 🤔 Check out this preprint 📃 from Tirole, Duvelle and Bendor for answers! doi.org/10.64898/202...

Time, but not reward, shapes replay-based episodic prioritization

Why are some experiences remembered better than others? Leading theories propose that hippocampal replay prioritizes memories for consolidation according to their expected future value. We recorded hi...

doi.org

I'm excited to share our latest work “Representation Learning Enables Scalable Multitask Deep Reinforcement Learning”. In this work, we revisit a fundamental question in reinforcement learning: What if representation learning was the key ingredient behind scalable RL? 1/🧵

BildBild

Both brains and RNNs can re-use components of computation across similar tasks or contexts. But what exactly are those “shared components”? How can they be used to solve several tasks? We address these questions in a new preprint with @avm.bsky.social! Link: www.biorxiv.org/content/10.6...

Interpretable compositional computation with recurrent neural networks

Flexible cognition utilizes reusable components to enable rapid adaptation of behavior to different contexts or tasks. Analysis of artificial neural networks trained on multiple tasks suggested that t...

biorxiv.org

We find that hallucination in world models is, first and foremost, a *data coverage* problem. Below viz shows visited state density (blue) and our developed hallucination predictor u_r (purple) side-by-side for four different tasks. Hallucinations tend to happen in less visited regions! 4/n

Super excited to share the last paper of my PhD: "Hallucination in World Models is Predictable and Preventable" ✨ We train a 350M-parameter generative world model on a large dataset spanning 210 tasks and show that we can predict *when* hallucination will happen and use that info to fix it! 🧵1/n