SINTN Stanford Institute for Neuro-Innovation & Translational Neurosciences

The Stanford Neurosciences Institute
proudly announces a research seminar by

Dora Angelaki

"Optimal integration of sensory evidence: A Bayesian journey through our 6th sense"

November 15th, 2012 - 4:30 - Clark Auditorium

Dora Angelaki PhD
Wilhelmina Robertson Professor & Chair
Department of Neuroscience, Baylor College of Medicine

A conversation with Dora Angelaki with the Stanford group Neuwrite West can be streamed or downloaded here: Angelaki conversation


Neural representation is inherently noisy. Representational accuracy may be increased by encoding variables in the responses of a population of neurons. Most known population codes for continuous variables can at best reduce squared error by a factor of N, where N is the number of neurons involved in the representation.

Is it possible to do better?

I will discuss an analysis of the peculiar grid cell code for spatial location in mammals, showing that the brain can represent variables to allow exponential, rather than polynomial, increases in information content, with N.

I will present data and a model of human short-term memory, as both item number and delay time are varied, and argue that human short-term memory performance is consistent with the possibility that the brain actually exploits exponentially strong population codes.

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