Events

Title: Frugal Inference for Control Abstract: A key challenge in advancing artificial intelligence is achieving the right balance between utility maximization and resource use by both external movement and internal computation. While…

To kick off the Continual Learning Working Group activities for this year, the Continual Learning working group will meet on Thursday, Jan 22 at 3pm on Zoom and in CEPSR 620. The meeting will…

Title: When and How to Parallelize Seemingly Sequential Models   Abstract: Transformers have become the de facto model for sequential data in large part because they are well adapted to modern hardware:…

Initial Meeting! About: The ARNI Language & Vision Working Group aims to bring together researchers across neuroscience, cognitive science, computer science, and AI to collaboratively advance our understanding of how…

Title:A multimodal sleep foundation model for disease prediction Abstract: Sleep is a fundamental biological process with broad implications for physical and mental health, yet its complex relationship with disease remains…

Herbert Zheng Wu Title: Neural Basis of Leader–Follower Dynamics in Cooperative Behavior Abstract: Cooperation allows social species to achieve outcomes that individuals cannot accomplish alone. Even in simple groups, cooperative behavior often…

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…