The Influences of Category Learning on Perceptual Reconstructions

Cognitive Science 45 (5):e12981 (2021)
  Copy   BIBTEX


We explore different ways in which the human visual system can adapt for perceiving and categorizing the environment. There are various accounts of supervised (categorical) and unsupervised perceptual learning, and different perspectives on the functional relationship between perception and categorization. We suggest that common experimental designs are insufficient to differentiate between hypothesized perceptual learning mechanisms and reveal their possible interplay. We propose a relatively underutilized way of studying potential categorical effects on perception, and we test the predictions of different perceptual learning models using a two‐dimensional, interleaved categorization‐plus‐reconstruction task. We find evidence that the human visual system adapts its encodings to the feature structure of the environment, uses categorical expectations for robust reconstruction, allocates encoding resources with respect to categorization utility, and adapts to prevent miscategorizations.



    Upload a copy of this work     Papers currently archived: 86,336

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Sensory Substitution and Perceptual Learning.Kevin Connolly - forthcoming - In Fiona Macpherson (ed.), Sensory Substitution and Augmentation. Oxford University Press.
Category learning as an example of perceptual learning.L. Welch & D. J. Silverman - 2004 - In Robert Schwartz (ed.), Perception. Malden Ma: Blackwell. pp. 18-18.
The real epistemic significance of perceptual learning.Berit Brogaard & Dimitria Electra Gatzia - 2018 - Inquiry: An Interdisciplinary Journal of Philosophy 61 (5-6):543-558.


Added to PP

8 (#1,094,432)

6 months
4 (#244,383)

Historical graph of downloads
How can I increase my downloads?