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1/ Periodic reminder: decodable ≠ causally used. Or, as we put it: Represented Is Not Computed. New paper w/ the excellent Ishita Darade (not on BSky; www.linkedin.com/in/ishita-da...), an undergrad student: arxiv.org/abs/2605.22488 #representation #NeuroAI #neuroscience #interpretability
7d
Structured prompts require integrating components according to task-relevant relations. How a network implements this integration is often hard to judge in language or vision, where those relations ar...
arxiv.org
Represented Is Not Computed: A Causal Test of Candidate Algorithmic Intermediates in a Transformer
Sushrut Thorat
When and how can test-time thinking allow models to use information latent in their training data? What are the benefits and tradeoffs relative to other solutions like synthetic data augmentation? Pleased to share (after a long delay) an exploration of these issues: arxiv.org/abs/2604.01430 thread:
2mo
arxiv.org
Language Models (LMs) exhibit two distinct mechanisms for knowledge acquisition: in-weights learning (i.e., encoding information within the model weights) and in-context learning (ICL). Although these...
Jeee 🐦‍⬛ I am very proud of our joint effort with @sreejan.bsky.social on the project "Reason to Play" LRMs show human-like rule discovery, and their hidden states predict human brain activity during gameplay 10x better than previous methods Interactive demo + paper: botcs.github.io/reason-to-pl...
Improving Latent Generalization Using Test-time Compute
1mo
Andrew Lampinen
32 fMRI-scanned humans and 8 frontier open weight LLMs play ARC-AGI like games with no rules given. The reasoning models match the human learning trajectories and their hidden states predict human bra...
botcs.github.io
Reason to Play - Behavioral and Brain Alignment
🚀 PhD position in #NeuroAI & neurodevelopment 🚀 Co-supervised by Sarah Lippé and myself, to investigate visual processing & cognition abnormalities in children with neurodevelopmental disorders in a neuroAI framework. Full project details and how to apply here: tinyurl.com/kbuyntpn 🧠🤖 📈
I'm also sad to be leaving UdeM and Mila, and truly honored to have been part of the unique neuroscience / AI research community there. Fortunately there are some exciting new opportunities for collaboration between Princeton and Montreal in the works.
16d
New paper from the lab! "Plasticity and language in the anaesthetized human hippocampus" www.nature.com/articles/s41...
Very excited to share that my lab will be moving to Princeton (Neuroscience & Psychology) this fall. I'll be recruiting at all levels (more info to come soon), please share / get in touch if you're interested in joining!
Finally I want to say thank you to all of my mentors and collaborators over the years. It's been an exciting journey and I'm looking forward to the work ahead!
1d