Our paper "Neural timescales from a computational perspective" is finally out in @natneuro.nature.com: www.nature.com/articles/s41... We discuss how computational models and methods can distill empirical observations on neural timescales into quantitative, testable theories of brain computation.

Neural timescales from a computational perspective - Nature Neuroscience

This review integrates computational approaches to provide a unified view on how data analysis methods, biophysical mechanistic models and machine learning approaches can help to uncover the origins a...

nature.com

📢📢 Announcing this year's conference on the Mathematics of Neuroscience & AI (Rome, 9-12th June). We’ve got a stellar line-up and venue, and invite everyone to join: www.neuromonster.org

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...

A neural circuit framework for economic choice: From building blocks of valuation to compositionality in multitasking

Value-guided decisions are a cornerstone of cognition, yet the underlying circuit-level mechanisms remain elusive. We used reinforcement learning to t…

sciencedirect.com

Aldo Battista@aldobattista.bsky.social · last yr.

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...

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!

Italian Academy, Columbia University@italianacademy.bsky.social · 10mo ago

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

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

Italian Academy, Columbia University@italianacademy.bsky.social · 11mo ago

New Fellow joining the Academy: Valeria Fascianelli; Project: “The neural geometry of emotions: cognitive implications and individual variability” tinyurl.com/2y5mzaw9 See all Fellows: tinyurl.com/5afsx4kv @valeriafascianelli.bsky.social

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...

A Neural Circuit Framework for Economic Choice: From Building Blocks of Valuation to Compositionality in Multitasking

Value-guided decisions are at the core of reinforcement learning and neuroeconomics, yet the basic computations they require remain poorly understood at the mechanistic level. For instance, how does t...

biorxiv.org

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...

A Neural Circuit Framework for Economic Choice: From Building Blocks of Valuation to Compositionality in Multitasking

Value-guided decisions are at the core of reinforcement learning and neuroeconomics, yet the basic computations they require remain poorly understood at the mechanistic level. For instance, how does t...

biorxiv.org

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

bioRxiv Neuroscience@biorxiv-neursci.bsky.social · 2y ago

Quantifying Differences in Neural Population Activity With Shape Metrics https://www.biorxiv.org/content/10.1101/2025.01.10.632411v1

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

Adaptation shapes the representational geometry in mouse V1 to efficiently encode the environment

Sensory adaptation dynamically changes neural responses as a function of previous stimuli, profoundly impacting perception. The response changes induced by adaptation have been characterized in detail...

bit.ly

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...

Understanding the neural code of stress to control anhedonia - Nature

Examination of the neural activity in the basolateral amygdala and ventral CA1 of mice during tasks or rest following exposure to social stress reveals signatures of resilience and susceptibility to s...

nature.com

Frances Xia@fxia.bsky.social · 2y ago

Excited to share our new paper out now @natureportfolio.bsky.social, where we identified neural signatures of stress susceptibility and resilience in the amygdala-ventral hippocampal network to enable control of anhedonia! <https://www.nature.com/articles/s41586-024-08241-y> Thread below:

(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

Simplified derivations for high-dimensional convex learning problems

Statistical physics provides tools for analyzing high-dimensional problems in machine learning and theoretical neuroscience. These calculations, particularly those using the replica method, often invo...

arxiv.org