Multiple timescales of adaptation in a neural code

Adrienne L. Fairhall, Geoffrey D. Lewen, William Bialek, Robert R. De Ruyter Van Steveninck

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Scopus citations

Abstract

Many neural systems extend their dynamic range by adaptation. We examine the timescales of adaptation in the context of dynamically modulated rapidly-varying stimuli, and demonstrate in the fly visual system that adaptation to the statistical ensemble of the stimulus dynamically maximizes information transmission about the time-dependent stimulus. Further, while the rate response has long transients, the adaptation takes place on timescales consistent with optimal variance estimation.

Original languageEnglish (US)
Title of host publicationAdvances in Neural Information Processing Systems 13 - Proceedings of the 2000 Conference, NIPS 2000
PublisherNeural information processing systems foundation
ISBN (Print)0262122413, 9780262122412
StatePublished - Jan 1 2001
Event14th Annual Neural Information Processing Systems Conference, NIPS 2000 - Denver, CO, United States
Duration: Nov 27 2000Dec 2 2000

Other

Other14th Annual Neural Information Processing Systems Conference, NIPS 2000
CountryUnited States
CityDenver, CO
Period11/27/0012/2/00

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems
  • Signal Processing

Cite this

Fairhall, A. L., Lewen, G. D., Bialek, W., & De Ruyter Van Steveninck, R. R. (2001). Multiple timescales of adaptation in a neural code. In Advances in Neural Information Processing Systems 13 - Proceedings of the 2000 Conference, NIPS 2000 Neural information processing systems foundation.