Shihab Shamma

Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United States

Title: The auditory cortex: A sensorimotor fulcrum for speech and music perception Abstract: The Auditory cortex sits at the center of all auditory-motor tasks and percepts, from listening to our…

Roberta Raileanu

Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United States

Title: Teaching Large Language Models to Reason with Reinforcement Learning Abstract: In this talk, I will discuss how we can use Reinforcement Learning (RL) to improve reasoning in Large Language Models (LLM),…

Lenka Zdeborova (Seminar Speaker)

Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United States

Title: Phase transition in learning with neural networks  Abstract: Statistical physics has studied exactly solvable models of neural networks for more than four decades. In this talk, we will put…

Postponed Continual Learning Working Group

CEPSR 620 Schapiro 530 W. 120th St

Weekly Meeting Group Discussion: Lifelong and Human-like Learning in Foundation Models Speaker: Mengye Ren (New York University) Assistant Professor Department of Computer Science Courant Institute of Mathematical Sciences Center for…

CTN: Adam Hantman

Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United States

Title: Neural basis for skilled movements Abstract: Generating behavior is an incredible achievement of the nervous system, considering the range of possible actions and the complexity of musculoskeletal arrangements. Motor…

CTN: Wei Ji Ma

Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United States

Title: Efficient coding in reward neurons Abstract: Two of the greatest triumphs of computational neuroscience have been efficient coding accounts of tuning properties of sensory neurons and reinforcement learning accounts…

CTN: Quentin Huys (Seminar Speaker)

To Be Determined

Title: Translating computational mechanisms to clinical applications Computational psychiatry is a rapidly growing field attempting to translate advances in computational neuroscience and machine learning into improved outcomes for patients suffering…

CTN: Guillaume Hennequin

Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United States

Title: A recurrent network model of planning explains hippocampal replay and human behaviour Abstract:  When faced with a novel situation, humans often spend substantial periods of time contemplating possible futures. For…

Canceled CTN: Bob Datta

Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United States

Title and Abstract: TBD

CTN: Stefano Fusi

Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United States

Title: The Geometry of Abstraction Abstract: I'll first discuss the theoretical framework introduced in Bernardi et al. 2020, Cell, in which we propose a possible definition of abstract representations. I'll go into…