Mutual Information of Image Fragments Predicts Categorization in Humans: Electrophysiological and Behavioral Evidence
Document Type
Article
Publication Date
7-2007
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.
Repository Citation
Harel, A.,
Ullman, S.,
Epshtein, B.,
& Bentin, S.
(2007). Mutual Information of Image Fragments Predicts Categorization in Humans: Electrophysiological and Behavioral Evidence. Vision Research, 47 (15), 2010-2020.
https://corescholar.libraries.wright.edu/psychology/249
DOI
10.1016/j.visres.2007.04.004
