title: Informational basis of sensory adaptation: entropy and single-spike efficiency in rat barrel cortex.
abstract: We showed recently that exposure to whisker vibrations enhances coding efficiency in rat barrel cortex despite increasing correlations in variability (Adibi et al., 2013). Here, to understand how adaptation achieves this improvement in sensory representation, we decomposed the stimulus information carried in neuronal population activity into its fundamental components in the framework of information theory. In the context of sensory coding, these components are the entropy of the responses across the entire stimulus set (response entropy) and the entropy of the responses conditional on the stimulus (conditional response entropy). We found that adaptation decreased response entropy and conditional response entropy at both the level of single neurons and the pooled activity of neuronal populations. However, the net effect of adaptation was to increase the mutual information because the drop in the conditional entropy outweighed the drop in the response entropy. The information transmitted by a single spike also increased under adaptation. As population size increased, the information content of individual spikes declined but the relative improvement attributable to adaptation was maintained.
authors.affiliation: School of Psychology, University of New South Wales, Sydney, New South Wales 2052, Australia, School of Psychology and Australian Centre of Excellence in Vision Science, University of Sydney, Sydney, New South Wales 2006, Australia, and Eccles Institute of Neuroscience, John Curtin School of Medical Research, The Australian National University, Canberra, Australian Capital Territory 0200, Australia.
authors.forename: Mehdi
authors.initials: M
authors.lastname: Adibi
authors.forename: Colin W G
authors.initials: CW
authors.lastname: Clifford
authors.forename: Ehsan
authors.initials: E
authors.lastname: Arabzadeh
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000222:Adaptation, Physiological / Q000502:physiology*; D000818:Animals; D001931:Brain Mapping; D019277:Entropy; D007257:Information Theory; D051381:Rats; D011984:Sensory Receptor Cells / Q000502:physiology*; D013003:Somatosensory Cortex / Q000166:cytology*; D018709:Statistics, Nonparametric
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