Article

Nature 412, 787-792 (23 August 2001) | doi:10.1038/35090500; Received 13 March 2001; Accepted 5 July 2001

Efficiency and ambiguity in an adaptive neural code

Adrienne L. Fairhall, Geoffrey D. Lewen, William Bialek and Robert R. de Ruyter van Steveninck

  1. NEC Research Institute, 4 Independence Way, Princeton, New Jersey 08540, USA

Correspondence to: Adrienne L. Fairhall Correspondence and requests for materials should be addressed to A.L.F. (e-mail: Email: adrienne@research.nj.nec.com).

We examine the dynamics of a neural code in the context of stimuli whose statistical properties are themselves evolving dynamically. Adaptation to these statistics occurs over a wide range of timescales—from tens of milliseconds to minutes. Rapid components of adaptation serve to optimize the information that action potentials carry about rapid stimulus variations within the local statistical ensemble, while changes in the rate and statistics of action-potential firing encode information about the ensemble itself, thus resolving potential ambiguities. The speed with which information is optimized and ambiguities are resolved approaches the physical limit imposed by statistical sampling and noise.

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