Neural networks and perceptual learning

Misha Tsodyks () and Charles Gilbert ()
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Misha Tsodyks: Weizmann Institute
Charles Gilbert: The Rockefeller University

Nature, 2004, vol. 431, issue 7010, 775-781

Abstract: Abstract Sensory perception is a learned trait. The brain strategies we use to perceive the world are constantly modified by experience. With practice, we subconsciously become better at identifying familiar objects or distinguishing fine details in our environment. Current theoretical models simulate some properties of perceptual learning, but neglect the underlying cortical circuits. Future neural network models must incorporate the top-down alteration of cortical function by expectation or perceptual tasks. These newly found dynamic processes are challenging earlier views of static and feedforward processing of sensory information.

Date: 2004
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DOI: 10.1038/nature03013

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