Mutual information of image fragments predicts categorization in humans: electrophysiological and behavioral evidence.

Full Abstract

Computational models suggest that features of intermediate complexity (IC) play a central role in object categorization [Ullman, S., Vidal-Naquet, M., & Sali, E. (2002). Visual features of intermediate complexity and their use in classification. Nature Neuroscience, 5, 682-687.]. The critical aspect of these features is the amount of mutual information (MI) they deliver. We examined the relation between MI, human categorization and an electrophysiological response to IC features. Categorization performance correlated with MI level as well as with the amplitude of a posterior temporal potential, peaking around 270 ms. Hence, an objective MI measure predicts human object categorization performance and its underlying neural activity. These results demonstrate that informative IC features serve as categorization features in human vision.

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Author information

Author/s: Harel, Assaf (A); Ullman, Shimon (S); Epshtein, Boris (B); Bentin, Shlomo (S);

Affiliation: Department of Psychology, Hebrew University of Jerusalem, Israel. assafusa(-atsign-)mscc.huji.ac.il

Grants: R01 MH 64458 (Agency:NIMH NIH HHS)

Journal and publication information

Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't

Journal: Vision research (Vision Res), published in England. (Language: eng)

Reference: 2007-Jul; vol 47 (issue 15) : pp 2010-20

Dates: Created 2007/06/19; Completed 2007/08/14; Revised 2007/12/03;

PMID: 17499835, status: MEDLINE (last retrieval date: 12/26/2008)

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MeSH headings (categories)

This article was linked to the MESH Headings shown below.

Adult
Computer Simulation
Electroencephalography
Evoked Potentials, Visual - physiology
Face
Female

Humans
Male
Pattern Recognition, Visual - physiology
Photic Stimulation - methods
Reaction Time
Recognition (Psychology) - physiology

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