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FrankLab_LNCC

@lnccbrown.bsky.social
142 followers 115 following 3 posts

Laboratory of Michael J. Frank at Brown University. Our research combines computational modeling and experimental work to understand the neural mechanisms of motivated learning, choice and cognitive control. www.lnccbrown.com

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FrankLab_LNCC @lnccbrown.bsky.social · 23h
Modeling decision dynamics improves ability to distinguish RL from WM - both recovery and out of sample prediction, with clinical differences revealed
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Reposted by FrankLab_LNCC
Monosov Lab @monosovlab.bsky.social · 21/10/2025
How do non-neuronal CNS cells called astrocytes contribute to cognition & computation? See our preprint Headed by my students Julia Pai and Fatih Sogukpinar, also working with Hiratani, Pignatelli, Papouin, Frank, and Ching labs. This was a huge effort www.biorxiv.org/content/10.1...
biorxiv.org
Ventral striatal astrocytes contribute to reinforcement learning
Astrocytes influence synaptic plasticity and neuronal function through astrocytic calcium dynamics (ACD). However, astrocytes contribution to cognitive operations like reinforcement learning (RL) rema...
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Reposted by FrankLab_LNCC
Pete Hitchcock @pf-hitchcock.bsky.social · 13/09/2025
Now out in JEP: General, "How working memory and reinforcement learning interact when avoiding punishment and pursuing reward concurrently" psycnet.apa.org/record/2026-... Preprint with final version: osf.io/preprints/ps... 1/n
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FrankLab_LNCC @lnccbrown.bsky.social · 04/09/2025
Check out the paper here! fun collab between Pavlick and Frank labs led by Jake Russin on "in-context" vs "in-weight" learning in humans and neural nets www.pnas.org/doi/10.1073/...
pnas.org
PNAS
Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...
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FrankLab_LNCC @lnccbrown.bsky.social · 04/09/2025
check out Jake Russin's new paper on how the interplay between in-context and in-weight learning in neural nets can explain tradeoffs in human learning! pnas.org/doi/epdf/10....
pnas.org
PNAS
Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...
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