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…

CTN: Peter Dayan

Jerome L. Greene Science Center 3227 Broadway 9th FL Lecture Hall, New York, NY, United States

Title: Risking your Tail: Curiosity, Danger & Exploration Abstract: Risk and reward are critical balancing determinants of adaptive behaviour, associated respectively with neophobia and neophilia in the case of exploration.…

Dr. Richard Lange

Zuckerman Institute - L3-079 3227 Broadway, New York, NY, United States

Title: "What Bayes can and cannot tell us about the neuroscience of vision" Nikolaus Kriegeskorte's Group is hosting Dr.Richard Lange, Assistant Professor in the Department of Computer Science at Rochester…

Continual Learning Working Group Talk

CEPSR 620 Schapiro 530 W. 120th St

Title: Continual learning, machine self-reference, and the problem of problem-awareness Abstract: Continual learning (CL) without forgetting has been a long-standing problem in machine learning with neural networks. Here I will bring a…

CTN Claudia Clopath

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

Title: Feedback-based motor control can guide plasticity and drive rapid learning Abstract: Animals use afferent feedback to rapidly correct ongoing movements in the presence of a perturbation. Repeated exposure to a predictable…

CTN: Sebastian Seung

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

Title:  Insights into vision from interpreting a neuronal wiring diagram Host: Marcus Triplett Abstract:  In 2023, the FlyWire Consortium released the neuronal wiring diagram of an adult fly brain. This contains as a…