FrankLab_LNCC

FrankLab_LNCC

@lnccbrown.bsky.social

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. https://www.lnccbrown.com/

149 followers119 following3 posts

FrankLab_LNCC
@lnccbrown.bsky.social

Modeling decision dynamics improves ability to distinguish RL from WM - both recovery and out of sample prediction, with clinical differences revealed

Krishn Bera@krishnbera.bsky.social

How fast we decide reveals how we learn. New in @plos.org #PLoSCompBio : modeling response times alongside choices disentangles working memory, reinforcement learning and cognitive control, and reveals differences in schizophrenia that choices alone missed. 🧵 t.co/BTOgmpd4YH

t.cohttps://doi.org/10.1371/journal.pcbi.1014796

FrankLab_LNCC reposted

Monosov Lab
@monosovlab.bsky.social

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.orgVentral striatal astrocytes contribute to reinforcement learningAstrocytes influence synaptic plasticity and neuronal function through astrocytic calcium dynamics (ACD). However, astrocytes contribution to cognitive operations like reinforcement learning (RL) rema...
FrankLab_LNCC
@lnccbrown.bsky.social

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.orgPNASProceedings 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...
Carney Institute for Brain Science@carneyinstitute.bsky.social

Analyzing strengths and weaknesses of different learning strategies in an artificial neural network offers new insights about the human brain:

brown.eduResearchers uncover similarities between human and AI learningBy working to understand how new AI systems integrate flexible and incremental learning, researchers gained insights about the human brain.

You are up to date.