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

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http://pubman.mpdl.mpg.de/cone/persons/resource/persons83897

Edelman,  S
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons83839

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

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


Cite as: http://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.