Thrilled to share that our work on neural circuits and economic decision-making is now published in @cp-neuron.bsky.social . Huge thanks to @camillopadoasch.bsky.social and @xjwanglab for this journey. www.sciencedirect.com/science/arti...

Despite the rain, a full house for @valeriafascianelli.bsky.social (Alexander Bodini Fellow in Developmental & Adolescent Psychiatry) & @stefanofusi.bsky.social (@zuckermanbrain.bsky.social ) in our Open Seminars series: "How does the Geometry of Brain Activity Shape Behavior?"

Tomorrow! Oct 30, 4:30pm "How does the Geometry of Brain Activity Shape Behavior?" Valeria Fascianelli; moderator Stefano Fusi, Zuckerman Institute, Columbia. Open seminars series; register: tinyurl.com/379uda2z @valeriafascianelli.bsky.social @columbiauniversity.bsky.social @stefanofusi.bsky.social

Happy to talk about the “Geometry of Emotions” at the Italian Academy on Oct 30th!

Honored to be one of the new fellows of the @italianacademy.bsky.social in this fall!

Excited to speak at the Davide Giri Talks at the Consulate General of Italy in New York! We’ll be discussing complex systems: from atoms, to people, to machines. @sueyeonchung.bsky.social

Excited to share our latest preprint with @camillopadoasch.bsky.social and Xiao-Jing Wang! We present a biologically plausible framework showing how neural circuits compute & compare value to drive flexible economic decision making. www.biorxiv.org/content/10.1...

New collaborative ms! We built & trained a neural network that is biophysically realistic, performs multiple economic choice tasks, and provides insights into orbitofrontal cortex. (We = Aldo Battista 😉) www.biorxiv.org/content/10.1...

Check our latest in which we leverage shape metrics to compare neural geometry across regions, sessions or subjects and how their differences predict behavior. w/ Nejatbakhsh, Duong, @sarah-harvey.bsky.social, Brincat, @siegellab.bsky.social, @earlkmiller.bsky.social & @itsneuronal.bsky.social

What if… spontaneous neural activity 🧠 reflects the baseline rumblings of a brainwide dynamical system initialized for learning? We find that the rumblings have macroscopic properties like those emerging from linear symmetric, critical systems 🧵 #neuroscience #neuroAI www.biorxiv.org/content/10.1...

New results! Visual adaptation changes the geometry of V1 population activity: frequent stimuli elicit smaller responses but become more discriminable. Similar results are seen in ANNs trained with metabolic constraints, suggesting these changes emerge from efficient coding. bit.ly/3VJHXRn

What is the neural code and statistical structure of neural states characterizing stress? Our new work in Nature answers these questions and more. Thanks to my amazing co-first @fxia.bsky.social @stefanofusi.bsky.social @mazenkheirbek.bsky.social for precious guidance www.nature.com/articles/s41...

(1/5) Fun fact: Several classic results in the stat. mech. of learning can be derived in a couple lines of simple algebra! In this paper with Haim Sompolinsky, we simplify and unify derivations for high-dimensional convex learning problems using a bipartite cavity method. arxiv.org/abs/2412.01110