Jeremy Manning

You learn better when you test yourself on an answer before you study it? Even more counterintuitive, our findings showcase that there is not one direct mechanism to this effect.
Thank you @charan-neuro.bsky.social , @xiaonanl.bsky.social , and @jameswardantony.bsky.social !
doi.org/10.1037/xlm0...

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Coolest position I’ve seen in some time: Cinema and Audiovisual Media - Assistant Professor (cross-disciplinary specialization in neuroscience) universityaffairs.ca/search-job/?...

Looks neat, @neuroai.bsky.social-- looking forward to reading with my lab!

A brain-inspired agentic architecture to improve planning with LLMs - Nature Communications Multi-step planning is a challenge for LLMs. Here, the authors introduce a brain-inspired Modular Agentic Planner that decomposes planning into specialized LLM modules, improving performance across tasks and highlighting the value of cognitive neuroscience for LLM design.

www.nature.com/articles/s41...

CRESTRICTED] ORIENTATION FACT SHEET 64 WAR DEPARTMENT-WASHINGTON 25, D. C. • 24 March 1945 FASCISM! Note For This Week's Discussion: Fascism is not the easiest thing to identify and analyze; nor, once in power, is it easy to destroy. It is important for our future and that of the world that as many of us as possible understand the causes and practices of fascism, in order to combat it. Points to stress are: (1) Fascism is more apt to come to power at a time of economic crisis; (2) fascism inevitably leads to war; (3) it can come to any country; (4) we can best combat it by making our democracy work.

In March of 1945, the US Army issued this "fact sheet" to guide conversations with soldiers on the topic of fascism, paying particular attention to the ongoing threat that domestic fascist movements posed to the US. Their analysis of what a homegrown US fascism would look like is interesting.

Exciting news! 🎉 Our Computational Neuroscience course has been awarded NIH BRAIN Initiative funding! Students will get hands-on experience w real BRAIN Initiative datasets, helping them build computational skills that are essential for the future of neuroscience.

www.linkedin.com/feed/update/...

My fave is desk rejection after 6 months 👌🤌

YouTube video by wklondon Cravendale, Cats with Thumbs

youtu.be/IdA_fLC7WIQ?...

My husband @danieljbarrett.com has written a new book on responsible software engineering! It is full of advice and case studies gathered from over 100 #Google employees.

Science limited only by imagination is an exhilarating idea. We're not 100% there yet, because (a) models are still dumb in frustrating ways (losing context, not understanding intent, hallucinations, etc.) and (b) the entire AI pipeline is too resource intensive. But the future finally feels close!

10 years ago I had to manually derive gradients and updates (weeks of work). Pytorch and autodiff made it possible to easily fit essentially any model I could code up (~a day of work). Now I can *describe* any model and get code + inference in about an hour. It's exciting!

Mainly I feel limited by API restrictions (token budget, rate limits)-- otherwise I'd happily run more things in parallel (maybe ~10x more?). Tools like Claude code have felt analogous to going from manual numpy to pytorch with automatic inference. Way lower barriers for exploration + experimenting!

What are your pros/cons of using AI in science?

Feel free to respond wrt use or harm in the design of experiments, coding experiments, coding analysis, brain storming analysis, summarizing literature, synthesis of ideas, modeling, novel model development, mathematical proofs, writing, editing.

GitHub - automazeio/ccpm: Project management system for Claude Code using GitHub Issues and Git worktrees for parallel agent execution. Project management system for Claude Code using GitHub Issues and Git worktrees for parallel agent execution. - automazeio/ccpm

I've also been enjoying using CCPM: github.com/automazeio/c...

A strong downside is fake results and hallucinations via "mock tests" and "estimated results." I've been working on ways to better guide LLMs through specific sequences of steps to help with this, but it's tough!

Here's one recent attempt: orc.readthedocs.io/en/latest/

Love this question! My favorite thing so far has been rapid prototyping of the million random ideas that I've had in my backlog for years. Now I can spin up quick demos in a few hours and decide which things to pursue.

Congrats @mariamaly.bsky.social!! 🥳🎉🤑

New job ad: Assistant Professor of Quantitative Social Science, Dartmouth College apply.interfolio.com/172357

Please share with your networks. I am the search chair and happy to answer questions!

Come work with us! @princetonneuro.bsky.social and the Department of Psychology at Princeton University are searching for a tenure-track Assistant Professor in the area of human cognitive neuroscience, to be hired jointly in Psychology and Neuroscience: puwebp.princeton.edu/AcadHire/app...

What It’s Like to Brainstorm with a Bot At the frontiers of knowledge, researchers are discovering that A.I. doesn’t just take prompts—it gives them, too, sparking new forms of creativity and collaboration.

When a neuroscientist was stuck on a research problem, he enlisted the help of an A.I. chatbot. “The exchange wasn’t quite spitballing; it was something more organized—human and machine feeling their way through the fog together,” Dan Rockmore writes.

New paper from me at Cognition and Emotion! "Deep neural network models of emotion understanding" I discuss how deep nets can be used as cognitive models of emotion perception, prediction, and regulation: doi.org/10.1080/0269...

(h/t @ltjaql.bsky.social for the illustrations!)

Every reputable expert I know considers mRNA vaccine technology to be one of the most revolutionary advances in medicine in our lifetimes. Its inventors won the Nobel Prize in 2023. Shutting it down now is pointless self-harm to humanity.

Opinion | Why Starvation in Gaza Has Reached a Tipping Point And what it could mean for the future of the conflict in the Middle East.

In @nytopinion.nytimes.com

People know hunger and starvation when they see it, our columnist Lydia Polgreen says about the war in Gaza on this episode of “The Opinions.” “It just reaches a level of horror that becomes hard for really anyone, including President Donald Trump, to countenance.”

Wow it’s almost like once people achieve a modicum of security, the drive to pump out papers for their own sake declines! 🤔

fMRI Course Instructors

Online #fMRI course coming up August 6-8!
3-day intensive with lectures and hands-on analysis for all skill levels. #SPM, #ICA, #DataScience with @vcalhoun.bsky.social and Kent Kiehl. We love teaching this course and meeting students from all areas! Info+Reg here:
sites.google.com/dartmouth.ed...

AI-guided digital intervention with physiological monitoring reduces intrusive memories after experimental trauma Trauma prevalence is vast globally. Evidence-based digital treatments can help, but most require human guidance. Human guides provide tailored instructions and responsiveness to internal cognitive sta...

I'm excited to share a new preprint! We built a digital, scalable intervention to reduce intrusive memories, combining an AI chatbot with LLM scoring of human-AI conversations and pupillometry predictors of effort and intervention success. I hope you enjoy! arxiv.org/abs/2507.01081

Will anyone review this paper? Screening, sorting, and the feedback cycles that imperil peer review Scholarly publishing relies on peer review to identify the best science. Yet finding willing and qualified reviewers to evaluate manuscripts has become an increasingly challenging task, possibly even ...

1. Kevin Gross and I just posted a new science-of-science preprint.

This one explores the looming peer review crisis. As many of you know, it's becoming significantly more difficult for journal editors to find scholars willing to serve as peer reviewers for submitted manuscripts.

Super excited to share this one!! Meta-learning sparsity and learning rate gives rise to brain-like gradients of complementary learning systems. So complementary learning systems emerge organically through behavior optimization, and it's not just two of them!!

Note: I did have a "cheat" day when my daughter was born-- I did that day's work in in advance, and set up a CRON job to actually do the commit/push 🤫...so maybe it still counts?

AMA!