Neuroscience
New principles of learning: Modularity and geometry in neural computations
3:00 PM - 4:00 PM
uOttawa - RGN Room 3248 and ZOOM
Speaker
Professor Mriganka Sur, FRS
Newton Professor of Neuroscience Director, Simons Center for the Social Brain Investigator, Picower Institute for Learning and Memory Department of Brain and Cognitive Sciences Massachusetts Institute of Technology
Learning Objectives
1. Plasticity and dynamics of neural populations especially in prefrontal cortex are a key substrate of learning
2. Modular subgroups of neurons that can be flexibly recombined are crucial for learned behavior and cognition
3. The activity of large neuronal populations can be understood via simpler representations that are shaped by learning.
Hosted by Dr. Simon Chen
Seminar Contact
Natasha Hollywood
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