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      Natural image statistics and neural representation.

      Annual review of neuroscience
      Animals, Brain Mapping, Environment, Humans, Image Processing, Computer-Assisted, Neurons, physiology, Pattern Recognition, Visual, Visual Cortex, Visual Perception

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          Abstract

          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)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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          Journal
          11520932
          10.1146/annurev.neuro.24.1.1193

          Chemistry
          Animals,Brain Mapping,Environment,Humans,Image Processing, Computer-Assisted,Neurons,physiology,Pattern Recognition, Visual,Visual Cortex,Visual Perception

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