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The Journal of Neurophysiology Vol. 85 No. 2 February 2001, pp. 735-744
Copyright ©2001 by the American Physiological Society
1Laboratory for Cognitive Neuroscience, Division of Biophysical Engineering, Graduate School of Engineering Science, Osaka University; 2Core Research for Evolutional Science and Technology, Japan Science and Technology Corporation, Osaka 560-8531; and 3Department of Cognitive Neuroscience, Osaka University Medical School, Osaka 565-0871, Japan
Tanaka, Hiroki,
Takanori Uka,
Kenji Yoshiyama,
Makoto Kato, and
Ichiro Fujita.
Processing of Shape Defined by Disparity in Monkey Inferior
Temporal Cortex. J. Neurophysiol. 85: 735-744, 2001. Neurons in the monkey inferior temporal cortex (IT)
have been shown to respond to shapes defined by luminance, texture, or motion. In the present study, we determined whether IT neurons respond
to shapes defined solely by binocular disparity, and if so, whether
signals of disparity and other visual cues to define shape converge on
single IT neurons. We recorded extracellular activity from IT neurons
while monkeys performed a fixation task. Among the neurons that
responded to at least one of eight random-dot stereograms (RDSs)
containing different disparity-defined shapes, 21% varied their
responses to different RDSs. Responses of most of the neurons were
positively correlated between two sets of RDSs, which consisted of
different dot patterns but defined the same set of eight shapes,
whereas responses to RDSs and their monocular images were not
correlated. This indicates that the response modulation for the eight
RDSs reflects selectivity for shapes (or their component contours)
defined by disparity, although responses were also affected by dot
patterns per se. Among the neurons that showed selectivity for shapes
defined by luminance or disparity, 44% were activated by both cues.
Responses of these neurons to luminance-defined shapes and those to
disparity-defined shapes were often positively correlated to each
other. Furthermore the stimulus rank, which was determined by the
magnitude of responses to shapes, generally matched between these cues.
The same held true between disparity and texture cues. The results
suggest that the signals of disparity, luminance, and texture cues to
define the shapes converge on a population of single IT neurons to
produce the selectivity for shapes.
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