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…

CTN: Stephanie Palmer

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

Title: How behavioral and evolutionary constraints sculpt early visual processing Abstract: Biological systems must selectively encode partial information about the environment, as dictated by the capacity constraints at work in all living…

Continual Learning Working Group: Kick Off

CEPSR 620 Schapiro 530 W. 120th St

Speaker: Mengye Ren Title: Lifelong and Human-like Learning in Foundation Models Abstract: Real-world agents, including humans, learn from online, lifelong experiences. However, today’s foundation models primarily acquire knowledge through offline, iid learning, while…

ARNI NSF Site Visit

Innovation Hub Tang Family Hall - 2276 12TH AVENUE – FLOOR 02

NSF Site Visit - The NSF team will evaluate the progress and achievements of ARNI’s projects to date and provide recommendations to steer future directions and funding for the project.…

CTN: Eva Dyer 

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

Title: Large-scale pretraining on neural data allows for transfer across individuals, tasks and species Abstract: As neuroscience datasets grow in size and complexity, integrating diverse data sources to achieve a comprehensive understanding…

Continual Learning Working Group: Haozhe Shan

CEPSR 620 Schapiro 530 W. 120th St

Speaker: Haozhe Shan Title: A theory of continual learning in deep neural networks: task relations, network architecture and learning procedure Abstract: Imagine listening to this talk and afterwards forgetting everything else…