Optimal neuronal tuning for finite stimulus spaces |
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Authors: | Brown W Michael Bäcker Alex |
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Affiliation: | Computational Biology, Sandia National Laboratories, Albuquerque, NM 87123, USA. wmbrown@sandia.gov |
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Abstract: | The efficiency of neuronal encoding in sensory and motor systems has been proposed as a first principle governing response properties within the central nervous system. We present a continuation of a theoretical study presented by Zhang and Sejnowski, where the influence of neuronal tuning properties on encoding accuracy is analyzed using information theory. When a finite stimulus space is considered, we show that the encoding accuracy improves with narrow tuning for one- and two-dimensional stimuli. For three dimensions and higher, there is an optimal tuning width. |
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