Efficiency and ambiguity in an adaptive neural code
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 inform...
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| Veröffentlicht in: | Nature (London) 2001-08, Vol.412 (6849), p.787-792 |
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| creator | Fairhall, Adrienne L Lewen, Geoffrey D Bialek, William de Ruyter van Steveninck, Robert R |
| description | 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. |
| doi_str_mv | 10.1038/35090500 |
| format | Article |
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| subjects | Adaptation, Physiological Animals Biochemistry. Physiology. Immunology Biological and medical sciences Codes Data Interpretation, Statistical Diptera Fundamental and applied biological sciences. Psychology Humanities and Social Sciences Insecta Invertebrates multidisciplinary Neural networks Physiology. Development Reaction Time Science Science (multidisciplinary) Statistical sampling Synaptic Transmission Visual Pathways - physiology |
| title | Efficiency and ambiguity in an adaptive neural code |
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