Events

1) Charlotte onboarded vision and audio MNIST dataloaders. She's focusing on predictive coding for sequential tasks (e.g., audio data/moving MNIST). 2) Todd built a multi-modal predictive coding baselines showing that unsupervised representation learning is possible here. 3) Eivinas proposed a backprop based autoencoder and Hebbian based autoencoder (maybe Exponentiated Gradients?). 4) Nihal offered to onboard…

SueYeon Chung Title: Computing with Neural Manifolds: A Multi-Scale Framework for Understanding Biological and Artificial Neural Networks Abstract: Recent breakthroughs in experimental neuroscience and machine learning have opened new frontiers in understanding the computational principles governing neural circuits and artificial neural networks (ANNs). Both biological and artificial systems exhibit an astonishing degree of orchestrated information…

We are aiming to accelerate progress on the benchmark, and will demo a working prototype very soon. If you are interested in contributing to our project, we strongly encourage you to participate so that we can fix and implement our plan of action for the coming few months.

Title: Inter-area connectivity and the emergence of multi-timescale cortical dynamics Abstract: The brain generates behaviors spanning a wide range of timescales, from rapid sensory responses to the slow integrative processes underlying cognition. How does the anatomical connectivity of the neocortex give rise to such flexible, multi-timescale dynamics? In this talk, I will examine how the…

Continuation from prior meetings Zoom Link- Upon request @ [email protected]

Denise Cai Title: Dynamic neural ensembles support memory stability and flexibility across the lifetime Abstract: Creating stable memories is critical for survival. An animal relies on past learning to navigate its environment, avoid dangerous situations, and find needed resources. Because the environment is dynamic, stable memories must be updated with new information to enable responses…

Date and time: Monday, March 2, from 3–4 PM. Meeting Link: Upon request @[email protected] Speakers: Jorge Menendez, Research Scientist at CTRL-Labs, and Trung Le, postdoc in Prof. Chethan Pandarinath’s group. Title: A generic non-invasive neuromotor interface for human-computer interaction Since the advent of computing, humans have sought computer input technologies that are expressive, intuitive and…

Date: Wednesday, March 4, 2026 Time: 9:00 AM - 6:30 PM Location: Faculty Room, Low Memorial Library Address: 535 W. 116th Street, New York, NY 10027 - Visitor Information Overview How does a university learn and adapt as AI becomes woven into teaching, learning, and intellectual life? This program invites both celebration of innovative experimentation…

Next session March 5th

Title: Foundation models of the brain Abstract: You … your memories and ambitions, your sense of personal identity and free will, are in fact no more than the behavior of a vast assembly of nerve cells …’ Crick’s words capture the profound challenge of decrypting the neural code. This challenge has long been hindered by our limited…

Title: Constraints of efficient neural computation Abstract: Neural systems adapt to the statistical structure of the environment to support behavior. While it is generally recognized that such adaptation is subject to various biological constraints (such as noise, metabolism, wiring cost), how these constraints determine the optimal neural computation remains unclear. For the first part of…