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

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.

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 Creators:
Intrator, N, Author
Edelman, S, Author           
Bülthoff, HH1, 2, Author           
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 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.

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 Dates: 1995-11
 Publication Status: Published in print
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 Rev. Type: -
 Identifiers: DOI: 10.1088/0954-898X/6/4/005
BibTex Citekey: 667
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Title: Network: Computation in Neural Systems
  Other : Netw.-Comput. Neural Syst.
Source Genre: Journal
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Publ. Info: Bristol : IOP Pub.
Pages: - Volume / Issue: 6 (4) Sequence Number: - Start / End Page: 603 - 618 Identifier: ISSN: 0954-898X
CoNE: https://pure.mpg.de/cone/journals/resource/954925576018