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Contents 1 Neural Networks and Perceptual Learning. (TsodyksGilbert04) 1.1 Abstract 1.2 Keywords 1.3 Other Information

Neural Networks and Perceptual Learning. (TsodyksGilbert04)

Tsodyks, Misha and Gilbert, Charles D. (2004). Neural Networks and Perceptual Learning. Nature. 2004 14 October;431:775-781.

TsodyksGilbert04.pdf (309KB)

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 of our environment. Current theoretical models simulate some properties or 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.

Keywords

perceptual learning, visual learning.

Other Information

Web page of Charles D. Gilbert

Web page of Misha Tsodyks

@article{Tsodyks+Gilbert04,
    author  = {Tsodyks, Misha and Gilbert, Charles},
    year    = 2004,
    title   = {Neural Networks and Perceptual Learning},
    journal = {Nature},
    volume  = 431,
    pages   = {775--781}
}

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