Dynamics, computation, and learning

JAN 30, 2018 | 9:30 AM



The Graduate Center
365 Fifth Avenue


9100: Skylight Room


January 30, 2018: 9:30 AM




Initiative for the Theoretical Sciences and the Ph.D program in Biology


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. 

Plasticity and learning in the hippocampus and cerebellum
Yonatan Aljadeff, The University of Chicago

Functional architectures for pattern-generating networks
Eve Armstrong, University of Pennsylvania 

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

Prediction in the visual system
Stephanie Palmer, The University of Chicago 

View/download the symposium schedule