Dynamics, computation, and learning

The functional behavior of the brain emerges from interactions among large networks of neurons.
What is the right mathematical framework for describing the dynamics of these networks?
How are the dynamics connected to computations involved in information processing or the generation of motor outputs?
Are there special features of the dynamics that allow the brain to make predictions about the future?
How are the dynamics sculpted by learning and adaptation?
This symposium will explore recent progress on these deep and interconnected theoretical problems.

Tuesday 30 January 2018

SCIENCE CENTER ROOM 4102

9:30 AM Coffee and bagels

10:00 AM Plasticity and learning in the hippocampus and cerebellum
                      Yonatan Aljadeff,  The University of Chicago

11:30 AM Coffee

12:00 PM Functional architectures for pattern-generating networks
                      Eve Armstrong, University of Pennsylvania

1:30 PM Lunch

2:30 PM Low- and high-dimensional computations in neural populations
                    Rishidev Chaudhuri, University of Texas at Austin

4:00 PM Coffee

4:30 PM Prediction in the visual system
                   Stephanie Palmer, The University of Chicago

Sponsored by the Doctoral Program in Biology, the Initiative for the Theoretical Sciences, and the Center for the Physics of Biological Function.
The CUNY Graduate Center is located at 365 Fifth Avenue, between 34th and 35th Streets, in Manhattan.