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This is the best news for Princeton since John Nash's thesis. admission.princeton.edu/apply/standa...
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.
8mo
7d
Nathaniel Daw
Nathaniel Daw
New paper out in cognition with @arikahn.bsky.social, @nathanieldaw.bsky.social, Cate Hartley, and @katenuss.bsky.social !! We show that children 👶 use predictive representations (e.g. SR) to guide their choices, providing an account of how they can make flexible choices in a changing world
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...
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...
New paper in CPsy 📢 - from Mostafa Abdou, @raziasahi.bsky.social, Thomas Hull, @eriknook.bsky.social and @nathanieldaw.bsky.social - cpsyjournal.org/articles/10....
7mo
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
We @smfleming.bsky.social, Marion Rouault and @seowxft.bsky.social and I) have posted a reply osf.io/preprints/ps... to a preprint that recently raised concerns about the validity of associations between mental health and metacognition from online studies. I hope you can take the time to read it.
7d
10mo
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Kevin J Miller
Alice Zhang
admission.princeton.edu
Standardized Testing | Princeton Admission
How do we predict what’s going to happen next? In a new paper, we @arikahn.bsky.social @licezhang.bsky.social @nathanieldaw.bsky.social @catehartley.bsky.social ask how kids, teens, and adults solve this problem. onlinelibrary.wiley.com/doi/10.1111/...
8d
Children are adept statistical learners, capable of parsing streams of structured input into meaningful units, but the cognitive processes they engage during learning may differ from those of adults...
Developmental Change in Structure Learning Reflects a Shift From Recency‐Based to Relational Prediction
onlinelibrary.wiley.com
Norman Lab
Payam Piray
Computational Psychiatry
Claire Gillan
Kate Nussenbaum
puwebp.princeton.edu
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
Reconciling flexibility and efficiency: medial entorhinal cortex represents a compositional cognitive map
osf.io
OSF
cpsyjournal.org
Leveraging large language models to estimate clinically relevant psychological constructs in psychotherapy transcripts | Computational Psychiatry
By harnessing a mental model of how the world works, learners can make flexible choices in changing environments. However, while children and adolesce…
www.sciencedirect.com
Children leverage predictive representations for flexible, value-guided choice
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.
9mo
Logic of Emotion Lab