Nice! one minor critique: The FR increases are too subtle. You have to know what you're looking for to pick them out.

For ~100 years, neuroscience assumed electrical stimulation excites neurons. Deliver current, cells depolarize, done.
That assumption is wrong.

tired: meta-analysis, wired: mega-analysis...

Armageddon is terrible, but our only other option was diversity trainings at work.

Want a dataset to test ideas on neural basis of decision making or how areas interact as we make choices? Check out our data published today @rudebecklab.bsky.social. >16,000 single neurons from 22 anatomically confirmed areas in macaques performing a decision task. www.nature.com/articles/s41...

Saw this at sundance this year: it's jam-packed with information on how the G in AGI comes straight out of eugenics, and eugenicist psychology and statistics.

Wanna do neuroscience in Paris but can't find interesting lab?

Want to come do a sabbatical but don't know who to collaborate?

Check this webpage aggregating ~all the neuroscience labs (+200) in Paris.

⚠️only the information of 'verified' profiles is reliable⚠️

Please retweet 🙏

parisneuro.fr

argh! I'm in the same boat this cycle.

tell your PI now about how close you are cutting it for the CCN deadline 🙈

🚨 We're very happy to introduce TRIBE v2: a foundation model of the brain's responses to sight, sound & language.

📄 Paper: ai.meta.com/research/pub...
▶️ Demo: aidemos.atmeta.com/tribev2/
💻 Code: github.com/facebookrese...
🤗 Model: huggingface.co/facebook/tri...

🧵 New preprint led by @bingbrunton.bsky.social, @elliottabe.bsky.social, @lawrencehu.bsky.social

We gave a worm brain control of a fly body and it walked

What did we learn? Nothing, other than deep reinforcement learning is effective

We call it the digital sphinx

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

Neuroanatomy reflects individual variability in impulsivity in youth - Molecular Psychiatry Molecular Psychiatry - Neuroanatomy reflects individual variability in impulsivity in youth

Our latest work looking at the neuroanatomical basis of impulsivity in youth is out now in Molecular Psychiatry!

How does the cerebellum contribute to cognitive functions? The role of the cerebellum in motor functions is well understood. But why is the same circuitry engaged in functions such as working memory, language, and social cognition? This Unsolved Mystery looks...

Also out today - A quick intro piece on the role of the cerebellum in cognition. What does it do? How will we find out? This is what @actlab.bsky.social and I think the critical questions are right now. It was fun to write - especially the section on evolution....

journals.plos.org/plosbiology/...

The form is short. You can submit anonymously. Even one sentence counts.

"I want NIH to fund the best science based on merit, not politics" is a valid comment.

Deadline: May 16, 2026
grants.nih.gov/grants/guide...

Postdoc Position: Affective Neuroscience and Computational Psychiatry at the Donders Centre for Cognitive Neuroimaging | Radboud University Do you want to work as a Postdoc at the Faculty of Social Sciences? Check our vacancy!

Join us for a postdoc @ the Donders Institute; application deadline March 24.
www.ru.nl/en/working-a...

💯💯

Cosyne 2026 - Cosyne Tutorial: Comparative Analysis of Neural Population Codes YouTube video by Cosyne Talks

Cosyne invited me to give a long tutorial (4 hours!) on methods to quantify differences high-d neural recordings across animals, brain regions, deep neural nets, etc.

The recording is up on youtube. I hope it inspires more research on this fundamental topic!

www.youtube.com/watch?v=n44x...

Super cool new preprint showing that neurons in the human claustrum represent uncertainty and prediction errors.

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

Super congrats, Christina!! 👏👏🙌

I am thrilled to announce that our group has received a new grant from the Shurl and Kay Curci Foundation to study the neural dynamics of vocal learning in children! I am looking for a postdoc to join us in this effort, currently funded for 2 years. Please reach out with CV and letter of interest.

A cognitive map for value-guided choice in the ventromedial prefrontal cortex Value-based decision-making can be conceptualized as navigation within a cognitive map of choice values. During choice, the ventromedial prefrontal cortex (vmPFC) compositionally builds cognitive maps...

1/n

With Cosyne around the corner, I thought I would:

a) make a thread about our “A cognitive map for value-guided choice in the vmPFC” Cell paper (i'm a bit late). shorturl.at/DBA3H

Cite women. Full stop!
👏👏

#COSYNE2026 come check out Rikki Rabinovich’s poster today if you want to see some next-level neuroscience!

Decoding creativity state and level from human brain networks with CEBRA.

[3-121] Representations of divergent thinking in large-scale brain networks and single neurons

Algorithmic representations of sequential behaviour in the human brain - 2-071. Friday.
@skuechenhoff.bsky.social, Habiba Azab

ABCD task in humans, with single cells and fMRI. Multiple different sequence representations, and a crazy anatomical organisation of the future in PFC.

personal note: There aren't words to adequately describe Nill's fortitude and perseverance in continuing to do great science during this horrendous time for her and her family in Tehran. She is an inspiration!

We're currently digging into the brain data from the DRE patients and excited to discover the neural underpinnings of the context neglect that leads people to choose maladaptively when decks are shuffled.

There's a lot more in the preprint, here:

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

We've also been running the task with drug-resistant epilepsy patients and modeling their behavior. Interestingly, every aspect of the patients' behavior was indistinguishable from that of non-epileptic participants, except their choice times (DRE pts were slower to choose):

The risk-sensitive models also best fit most participants' behavior, and critically, the latent risk-sensitive model variables (Q-values) best predicted participants' choices and response times:

To do this, we first had several basic reinforcement learning models do the task, showing that asymmetric (AKA, risk-sensitive, 2-process distributional) reinforcement learning models (i.e., those learning from both gains and losses) performed best:

a baby is laying on a blue pillow with the words `` hmmmm interesting '' written on it . ALT: a baby is laying on a blue pillow with the words `` hmmmm interesting '' written on it .

This behavior, that reflects the disCARDing ;) of a context that participants clearly learned, is similar to a well-known cognitive fallacy called base-rate neglect.

We then sought to understand whether there were some latent computational principles underlying this process.