Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 561767
Title Responses of complex cells in area 17 of the cat to bi-vectorial transparent motion
Author(s) Wezel, Richard J.A. Van; Lankheet, Martin J.M.; Verstraten, Frans A.J.; MaréE, Athanasius F.M.; De Grind, Wim A. Van
Source Vision Research 36 (1996)18. - ISSN 0042-6989 - p. 2805 - 2813.
DOI https://doi.org/10.1016/0042-6989(95)00324-X
Publication type Refereed Article in a scientific journal
Publication year 1996
Keyword(s) Area 17 - Cat - Complex cell - Transparent motion - Visual cortex
Abstract

We examined the responses to transparent motion of complex cells in cat area 17 which show directional selectivity to moving random pixel arrays (RPAs). The response to an RPA moving in the cell's preferred direction is inhibited when a second RPA is transparently moving in another direction. The inhibition by the second pattern is quantified as a function of its direction. The response to a pattern moving in the preferred direction is never completely suppressed, not even when a second pattern is moving transparently in the opposite direction. To the extent that supra-spontaneous firing rates signal the presence of the optimal velocity vector, these cells therefore still signal the presence of this line-label stimulus despite additional opposing, or otherwise directed, motion components. The results confirm previous suggestions that, for the computation of motion energy in cat area 17 complex cells, a full opponent stage is not plausible. Furthermore, we show that the response to a combination of two motion vectors-can be predicted by the average of the responses to the individual components.

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