Year: 2007
Type: article
Abstract: Traditional models of perceptual learning usually assume that learning occurs through changes of weights to fixed primitive features or dimensions.A new model for perceptual learning is presented which relies on simple and physiologically plausible mechanisms.The model suggests how flexible features can be dynamically derived from input characteristics in the course of learning and how diagnostic shape representations can be formed due to conceptual influences.The model can learn without a teaching signal (unsupervised learning), yet when conceptual feedback is available, it influences the formation of representations in accordance with supervised human perceptual learning.Two simulations are reported that account for data in studies of infant and adult perceptual learning.
Institution: New Bulgarian University
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W2589919542