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Optimal Neuronal Tuning for Finite Stimulus Spaces

2006; The MIT Press; Volume: 18; Issue: 7 Linguagem: Inglês

10.1162/neco.2006.18.7.1511

1530-888X

William M. Brown, Alex Bäcker,

Neuroscience and Neural Engineering

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.