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  Direction selectivity of blowfly motion-sensitive neurons is computed in a two-stage process

Borst, A., & Egelhaaf, M. (1990). Direction selectivity of blowfly motion-sensitive neurons is computed in a two-stage process. Proceedings of the National Academy of Sciences of the United States of America, 87(23), 9363-9367. doi:10.1073/pnas.87.23.9363.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0006-3A31-2 Version Permalink: http://hdl.handle.net/21.11116/0000-0006-3A32-1
Genre: Journal Article

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 Creators:
Borst, A1, 2, Author              
Egelhaaf, M1, 2, Author              
Affiliations:
1Former Department Information Processing in Insects, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497801              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              

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 Abstract: Direction selectivity of motion-sensitive neurons is generally thought to result from the nonlinear interaction between the signals derived from adjacent image points. Modeling of motion-sensitive networks, however, reveals that such elements may still respond to motion in a rather poor directionally selective way. Direction selectivity can be significantly enhanced if the nonlinear interaction is followed by another processing stage in which the signals of elements with opposite preferred directions are subtracted from each other. Our electrophysiological experiments in the fly visual system suggest that here direction selectivity is acquired in such a two-stage process.

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 Dates: 1990-12
 Publication Status: Published in print
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 Identifiers: DOI: 10.1073/pnas.87.23.9363
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Title: Proceedings of the National Academy of Sciences of the United States of America
  Other : Proc. Acad. Sci. USA
  Other : Proc. Acad. Sci. U.S.A.
  Other : Proceedings of the National Academy of Sciences of the USA
  Abbreviation : PNAS
Source Genre: Journal
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Publ. Info: Washington, D.C. : National Academy of Sciences
Pages: - Volume / Issue: 87 (23) Sequence Number: - Start / End Page: 9363 - 9367 Identifier: ISSN: 0027-8424
CoNE: https://pure.mpg.de/cone/journals/resource/954925427230