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