Calendar of Events
|
Monday
|
Tuesday
|
Wednesday
|
Thursday
|
Friday
|
Saturday
|
Sunday
|
|---|---|---|---|---|---|---|
|
1 event,
-
Next Monday, September 29, we will continue our fall semester program with a group workshop on the topic of neural memory models. First, we will have a presentation from group… |
0 events,
|
0 events,
|
0 events,
|
2 events,
-
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… |
0 events,
|
0 events,
|
|
0 events,
|
0 events,
|
1 event,
-
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… |
0 events,
|
1 event,
-
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… |
0 events,
|
0 events,
|
|
0 events,
|
0 events,
|
0 events,
|
0 events,
|
1 event,
|
0 events,
|
0 events,
|
|
0 events,
|
1 event,
-
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… |
0 events,
|
0 events,
|
2 events,
-
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] |
0 events,
|
0 events,
|
|
1 event,
-
Next Meeting Info Date: Monday, October 27 Time: 3-4pm Room: CEPSR 620 Zoom: Upon request @[email protected] |
0 events,
|
1 event,
-
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. It combines naturalistic functional imaging with machine learning both to improve our understanding of the brain and to find insight to build better artificial systems. She is… |
0 events,
|
0 events,
|
0 events,
|
0 events,
|