EECS CSPL SEMINAR SERIES
SPRING/SUMMER TERM 2000


Don H. Johnson

Don H. Johnson

Professor and Chair

Electrical and Computer Engineering

Rice University

dhj@rice.edu



Tuesday, May 9
4:00 - 5:00 P.M.
Room 1500 EECS


Information-Theoretic Analysis of Neural Recordings

Abstract-

Most current spike train analysis methods, be they single or multi-unit recordings, rely on point process models of the discharge patterns. Such techniques focus on analyzing spike timing, but do not reveal much about how well the discharge patterns represent information and how well neural systems process information. I describe techniques derived from my new theory of information processing that quantify these questions. We analyze recordings from central auditory pathways to show that neural coding can be dynamic and multi-faceted and from peripheral visual systems that show how lossy information processing can be.



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