Valeria Fascianelli
@valeriafascianelli.bsky.social
Computational neuroscientist @ Center for Theoretical Neuroscience, Columbia University, New York
Reposted by Valeria Fascianelli
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?"
October 30, 2025 at 10:34 PM
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?"
Reposted by Valeria Fascianelli
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
"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
October 29, 2025 at 2:24 PM
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
"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!
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
"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
October 24, 2025 at 2:54 AM
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!
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
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
September 11, 2025 at 4:27 PM
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
We’ll be discussing complex systems: from atoms, to people, to machines. @sueyeonchung.bsky.social
April 29, 2025 at 11:44 AM
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
We’ll be discussing complex systems: from atoms, to people, to machines. @sueyeonchung.bsky.social
Reposted by Valeria Fascianelli
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...
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...
www.biorxiv.org
March 15, 2025 at 2:52 PM
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...
www.biorxiv.org/content/10.1...
Reposted by Valeria Fascianelli
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...
(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...
www.biorxiv.org
March 14, 2025 at 4:01 PM
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...
(We = Aldo Battista 😉)
www.biorxiv.org/content/10.1...
Reposted by Valeria Fascianelli
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
w/ Nejatbakhsh, Duong, @sarah-harvey.bsky.social, Brincat, @siegellab.bsky.social, @earlkmiller.bsky.social & @itsneuronal.bsky.social
Quantifying Differences in Neural Population Activity With Shape Metrics https://www.biorxiv.org/content/10.1101/2025.01.10.632411v1
January 12, 2025 at 3:19 PM
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
w/ Nejatbakhsh, Duong, @sarah-harvey.bsky.social, Brincat, @siegellab.bsky.social, @earlkmiller.bsky.social & @itsneuronal.bsky.social
Reposted by Valeria Fascianelli
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...
January 12, 2025 at 7:55 PM
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...
Reposted by Valeria Fascianelli
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
December 16, 2024 at 8:38 PM
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...
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...
December 4, 2024 at 6:04 PM
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...
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...
Reposted by Valeria Fascianelli
(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
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
December 3, 2024 at 7:34 PM
(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
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