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Willy Wong (Dept. of Electrical and Computer Engineering, University of Toronto) | On the Asymptotic, Near-equilibrium Sensory Response

When Mar 10, 2016
from 05:15 PM to 06:45 PM
Where BCF Lecture Hall, Hansastr. 9a
Contact Name Ad Aersten
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Abstract

I will present a somewhat different approach to modelling sensory processing of information by neurons. This work is based on a theory of sensation developed by Ken Norwich, myself and others. The near equilibrium, asymptotic sensory response of peripheral neurons can be understood in terms of a measurement analogy, coupled with an assumption about the statistics of sensory signals. The approach involves aspects of information theory, Bayesian statistics and complex systems, and provides a quantitative means of predicting the neural peripheral response to a wide variety of sensory inputs. The approach is reminiscent of statistical physics.

 

Supported by

Bernstein Center Freiburg | PhD Program BrainDiscDeutscher Akademischer Austauschdienst DAADFederal Ministery of Education and ResearchCarl Zeiss FoundationNeurexNeuroCampusEU Development FundEU InterregNeurAGBrainLinks BrainTools

 

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