Title and Abstract: TBD

Biological Learning first fall 2025 working group session of the year! Pingsheng Li, PhD student with Blake Richards at MILA, will be presenting Log-Normal Multiplicative Dynamics for Stable Low-Precision Training of Large Networks.   Brief discussion of how the group can all collaborate together on a project, define a benchmark for ourselves with some metrics…

Title: OmniMouse: Scaling properties of multi-modal, multi-task Brain Models on 150B Neural Tokens Abstract: Scaling data and artificial neural networks has transformed AI, driving breakthroughs in language and vision. Whether…

Title: Dynamical models of neural-behavioral data with application to AI-driven neurotechnology Abstract: A major challenge in neuroAI is to model, decode, and modulate the activity of large populations of neurons…

Title and Abstract: TBD

Title: Building the brain’s efficient system-level architecture: optimisations across space, time, and multiple regions Abstract: The computations a brain can perform are fundamentally constrained by physical realities: energetic resources are…

Title: Learning representations of specifics and generalities over time Abstract: There is a fundamental tension between storing discrete traces of individual experiences, which allows recall of particular moments in our past…

Continuation from prior meetings about benchmarks and competition proposals. Zoom Link: upon request @ [email protected]

Next Meeting Info Date: Monday, October 27 Time: 3-4pm Room: CEPSR 620 Zoom: Upon request @[email protected]

Bio: Leila Wehbe is an associate professor in the Machine Learning Department and the Neuroscience Institute at Carnegie Mellon University. Her work is at the interface of cognitive neuroscience and computer science.…

Seminar Time: 11:30am Date: Fri 11/7/25 Seminar Location: JLG, L5-084 Host: Weijia Zhang Title: Latent causes, prediction errors, and the organization of memory Abstract: No two events are alike. But still, we learn, which means…

Bio Bryan Li is completing his PhD in NeuroAI at the University of Edinburgh, under the supervision of Arno Onken and Nathalie Rochefort. His main PhD project focuses on building deep…