Excited to share our new preprint bit.ly/402EYEb with Mariya Toneva, Norman Lab, and Manoj Kumar @[email protected]), in which we ask if GPT-3 (a large language model) can segment narratives into meaningful events similarly to humans. We use an unconventional approach: ⬇️

Come do a post-doc with us Nuclear Energy Institute. It's simply an amazing place to work. Informal inquires welcome! details in the link. nei.nih.gov/grants-and-tra…

A few postdocs asked me to read over their job applications. Here’s a few bits of advice: 🧵 /10 1. If any advice doesn’t ring true for you, discard it (including this!) 2. People on the search committee are keen to welcome a colleague, they aren’t looking to take you down

Only a few days left to apply for our early to mid-career Data Scientist position National Institute of Mental Health (NIMH) NIH ! nimh-dsst.github.io/dataSci_job_ad… Please retweet/boost!

Excited to partner with ARIA !

#GazeReinstatement & #NeuralReactivation may be linked through a common process that reinstates past experiences during #MemoryRetrieval! doi.org/10.1101/2024.1… Check out our #Preprint that integrates #EyeTracking into the Sherlock #fMRI Dataset (Postdoc work w/Chris Baker)!

new overview paper on "Scientific Progress in Artificial Intelligence: History, Status and Futures," written with my co-author Eric Horvitz . cs.cmu.edu/~tom/pubs/AI_O…

This study is valuable in providing the perspective of people using chatbots for "therapy", using structured interviews.

I am looking for a Post-Doctoral Researcher (2 to 3 year contract) interested in object recognition, and in exploring object shape, texture, material, and/or object-related action, using fMRI decoding and multivariate approaches. Send me an email [email protected]

It's hard to sum up the amount of work that has gone into afni_proc.py since started in 2006, via Rick Reynolds, 🥂𝔹𝕠𝕓 ℂ𝕠𝕩🧠, Gang Chen & many others. But its goal is simple: to help neuroimagers process+understand+check FMRI data. Hope these examples & descriptions are useful.

Chen et al. present an exploration of causal inference principles to guide experimental design, model-building, and result interpretation: doi.org/10.52294/001c.… Gang Chen Paul Taylor Mallar Chakravarty Peter Bandettini OHBM

This dataset is now out in Scientific Data, following seriously valuable comments from Sam Nastase (shorturl.at/Id6Gb) and one anonymous reviewer. We hope it facilitates new insights into human memory under naturalistic conditions! nature.com/articles/s4159…

Super excited: my new @darpa program on AI for pure mathematics! Exponentiating Mathematics (expMath) aims to accelerate the rate of progress in pure math through the development of an AI collaborator and new professional-level math benchmarks. sam.gov/opp/4def3c13ca…

The latest from Soohyun Lee and Ana Inacio, in collaboration with the NIMH Machine Learning Core.

NIH researchers developed a powerful method to track how brain-behavior relationships evolve, revealing insights that standard analyses miss. This could reshape how we study neural activity in psychiatric disorders and addiction. elifesciences.org/articles/95802

Want to test the effect of events/behavior at every trial time-point in photometry analyses? Paper with Erjia Cui, David Lovinger, Francisco Pereira. “A Statistical Framework for Analysis of Trial-Level Temporal Dynamics in Fiber Photometry Experiments.” python and R packages! 1/13

It's finally here! Use the Network Correspondence Toolbox to help interpret your neuroimaging findings 🧠 nature.com/articles/s4146…

If you’re at ICLR 2026, check out Ammar’s spotlight paper “Sparse Components Distinguish Visual Pathways & Their Alignment to Neural Networks” — where he uses Bayesian NMF to reveal dominant components specific to each visual stream (ventral/dorsal/lateral) and introduces a new

A vital and very enjoyable component of my academic work is teaching students at all levels how to extend the frontiers of knowledge. So I’m pleased to announce a set of Jupyter notebook tutorials organized around our ideas for “physics of behavior”: github.com/oist/Physics-o…