An integrated approach to the study of object features in visual recognition

Intrator, N; Edelman, S; Bülthoff, HH

doi:10.1088/0954-898X/6/4/005

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An integrated approach to the study of object features in visual recognition

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Bülthoff, HH
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

Intrator, N., Edelman, S., & Bülthoff, H. (1995). An integrated approach to the study of object features in visual recognition. Network: Computation in Neural Systems, 6(4), 603-618. doi:10.1088/0954-898X/6/4/005.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-EC4A-1

Abstract

We propose to assess the relevance of theories of synaptic modification as models of feature extraction in human vision, by using masks derived from synaptic weight patterns to occlude parts of the stimulus images in psychophysical experiments. In the experiment reported here, we found that a mask derived from principal component analysis of object images was more effective in reducing the generalization performance of human subjects than a mask derived from
another method of feature extraction (BCM), based on higher-order statistics of the images.