Optimality and adaptation in motion estimation by the blowfly visual system

R. de Ruyter van, Steveninck W. Bialek

Research output: Contribution to conferencePaperpeer-review

1 Scopus citations

Abstract

This study reports experimental results on the visual system of the blowfly Calliphora vicina, in which we record analog signals from photoreceptors and action potentials from wide-field movement-sensitive cells. The photoreceptor data allow us to quantify how much information is present at the input to the visual brain. A mathematical analysis of the problem of movement detection with noisy inputs shows that it is very beneficial to adapt the computation to the statistics of the incoming signals. The experimental results suggest that the fly indeed adapts it computational strategy to a variety of statistical parameters of the input in ways predicted by the theory. Some examples of optimal processing and adaptation are presented.

Original languageEnglish (US)
Pages40-41
Number of pages2
StatePublished - Jan 1 1996
EventProceedings of the IEEE 22nd Annual Northeast Bioengineering Conference - New Brunswick, NJ, USA
Duration: Mar 14 1996Mar 15 1996

Other

OtherProceedings of the IEEE 22nd Annual Northeast Bioengineering Conference
CityNew Brunswick, NJ, USA
Period3/14/963/15/96

All Science Journal Classification (ASJC) codes

  • Bioengineering

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