Visual perceptual learning of feature conjunctions leverages non-linear mixed selectivity
Abstract Visual objects are often defined by multiple features. Therefore, learning novel objects entails learning feature conjunctions. Visual cortex is organized into distinct anatomical compartments, each of which is devoted to processing a single feature. A prime example are neurons purely selec...
Main Authors: | Behnam Karami, Caspar M. Schwiedrzik |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2024-03-01
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Series: | npj Science of Learning |
Online Access: | https://doi.org/10.1038/s41539-024-00226-w |
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