Seminar:

Spring 2016, Thursdays, Blocker 506A, 4:00-4:50 PM


Date: March 31

"  A Convexity Condition for Neural Codes "
  Robert Williams  

Abstract

The brain uses neural codes to store and process information about the world. Combinatorial codes encode information about the behavior of a group of neurons. A code is called convex if there is an arrangement of convex open sets in Euclidean space that represent its codewords. We will have a brief introduction to the notion of a convex code and introduce structures in which combinatorial data about the code is sufficient to determine convexity.