Nathaniel Daw

@nathanieldaw.bsky.social

Neuro prof at Princeton, social media cynic.

1/ 🚨 New preprint: "Closing the Loop to Discover Psychological Theories with an Automated Cognitive Scientist" Introducing AutoCog 🤖 — a fully autonomous AI system that runs the entire scientific discovery cycle in cognitive science to surface novel theories of human behavior 🧵

First paper since joining Google DeepMind! We present 🌍ATLAS (Active Theory Learning for Automated Science), a pipeline that generates interpretable mechanistic models from data and optimizes experiments to test them. Thread below

I have been so excited about this project. In many ways the most surprising thing to me was how seemingly similar the AI-discovered models were to simple ones I thought I understood, even though they fit way better. This means we can also really get what makes them work.

Kevin J Miller@kevinjmiller.bsky.social · 2mo ago

Computational models are a key part of science but discovering new ones is hard! DataDIVER discovers concise models from data, which surface new mechanistic ideas and clear predictions for future experiments From Google Deepmind Neuroscience Lab + collaborators www.biorxiv.org/content/10.6...

New paper in CPsy 📢 - from Mostafa Abdou, @raziasahi.bsky.social, Thomas Hull, @eriknook.bsky.social and @nathanieldaw.bsky.social - cpsyjournal.org/articles/10....

Leveraging large language models to estimate clinically relevant psychological constructs in psychotherapy transcripts | Computational Psychiatry

cpsyjournal.org

Logic of Emotion Lab@logicemotionlab.bsky.social · 11mo ago

We have a new paper published in @cpsyjournal.bsky.social! We used large-language models (LLMs) to estimate linguistic distance in psychotherapy text and found that these ratings tracked with clients’ symptoms in treatment over time, more strongly than word-counting techniques did.

New paper with @nathanieldaw.bsky.social in Nature Communications: an RL model that builds a successor map compositionally. The new model plans as well as the best models, and it links components of the map used for planning to neural codes in the medial entorhinal cortex. rdcu.be/eAofi

Reconciling flexibility and efficiency: medial entorhinal cortex represents a compositional cognitive map

Nature Communications - How the brain creates compositional cognitive maps that support both flexible and efficient planning remains poorly understood. Here, authors propose a...

rdcu.be

Excited to share a new paper with Daphna Shohamy & @nathanieldaw.bsky.social! Using fmri reactivation, we measured *when* people build preferences from memory. We found that people tend to do so before a choice, but that they also wait until choice time when options are linked to multiple memories

Proactive and reactive construction of memory-based preferences - Nature Communications

Making new decisions requires retrieving memories, but when this occurs is unclear. The authors show that people typically access memories before a choice unless there are many related memories to con...

nature.com

one of the most intriguing projects i've been involved in: automated scientific discovery in an area (human/animal RL) I've been working on forever. can an LLM do the job of my grad students? if it is backed up by super smart scientists incl @pcastr.bsky.social @neurokim.bsky.social & kevin miller

Pablo Samuel Castro@pcastr.bsky.social · last yr.

Can LLMs be used to discover interpretable models of human and animal behavior?🤔 Turns out: yes! Thrilled to share our latest preprint where we used FunSearch to automatically discover symbolic cognitive models of behavior. 1/12

New preprint - "Children leverage predictive representations for flexible, value-guided choice." A fun collaboration with @arikahn.bsky.social @nathanieldaw.bsky.social @catehartley.bsky.social, led by @licezhang.bsky.social 🧠🧒💻

Alice Zhang@licezhang.bsky.social · 2y ago

psyarxiv.com/y3dzn preprint from the time i spent at @hartleylabnyu.bsky.social 💜 - we were puzzled by past findings suggesting that children learn about the structure of the world, but don't use this knowledge to flexibly guide their decision-making as much as adults do.