Natural Image Statistics and Neural Representation
Published in:
Annual Review of Neuroscience
vol. 24, pp. 1193-1216, May 2001.
© 2001 Annual Reviews.
It has long been assumed that sensory neurons are adapted, through both
evolutionary and developmental processes, to the statistical
properties of the signals to which they are exposed. Attneave (1954)
and Barlow (1961) proposed that
information theory could provide a link between environmental
statistics and neural responses through the concept of coding
efficiency. Recent developments in statistical modeling,
along with powerful computational tools, have enabled researchers to
study more sophisticated statistical models for visual images, to validate
these models empirically against large sets of data, and to begin
experimentally testing the efficient coding hypothesis for both
individual neurons and populations of neurons.
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