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      Efficiency and ambiguity in an adaptive neural code.

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          Abstract

          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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          Author and article information

          Journal
          Nature
          Nature
          Springer Science and Business Media LLC
          0028-0836
          0028-0836
          Aug 23 2001
          : 412
          : 6849
          Affiliations
          [1 ] NEC Research Institute, 4 Independence Way, New Jersey 08540, USA. adrienne@research.nj.nec.com
          Article
          35090500
          10.1038/35090500
          11518957
          a49b6298-e32f-4e54-96df-bd88d25809d6
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