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The Journal of Neurophysiology Vol. 82 No. 2 August 1999, pp. 909-924
Copyright ©1999 by the American Physiological Society
Group in Vision Science, School of Optometry, University of California, Berkeley, California 94720-2020
Anzai, Akiyuki,
Izumi Ohzawa, and
Ralph D. Freeman.
Neural Mechanisms for Processing Binocular Information II.
Complex Cells. J. Neurophysiol. 82: 909-924, 1999. Complex cells in the striate cortex exhibit extensive
spatiotemporal nonlinearities, presumably due to a convergence of
various subunits. Because these subunits essentially determine many
aspects of a complex cell receptive field (RF), such as tuning for
orientation, spatial frequency, and binocular disparity, examination of
the RF properties of subunits is important for understanding functional roles of complex cells. Although monocular aspects of these subunits have been studied, little is known about their binocular properties. Using a sophisticated RF mapping technique that employs binary m-sequences, we have examined binocular interactions exhibited by
complex cells in the cat's striate cortex and the binocular RF
properties of their underlying functional subunits. We find that
binocular interaction RFs of complex cells exhibit subregions that are
elongated along the frontoparallel axis at different binocular
disparities. Therefore responses of complex cells are largely
independent of monocular stimulus position or phase as long as the
binocular disparity of the stimulus is kept constant. The binocular
interaction RF is well described by a sum of binocular interaction RFs
of underlying functional subunits, which exhibit simple cell-like RFs
and a preference for different monocular phases but the same binocular
disparity. For more than half of the complex cells examined, subunits
of each cell are consistent with the characteristics specified by an
energy model, with respect to the number of subunits as well as
relationships between the subunit properties. Subunits exhibit RF
binocular disparities that are largely consistent with a phase
mechanism for encoding binocular disparity. These results indicate that
binocular interactions of complex cells are derived from simple
cell-like subunits, which exhibit multiplicative binocular
interactions. Therefore binocular interactions of complex cells are
also multiplicative. This suggests that complex cells compute something
analogous to an interocular cross-correlation of images for a local
region of visual space. The result of this computation can be used for
solving the stereo correspondence problem.
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