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Journal of Neuroscience, Vol 10, 3323-3334, Copyright © 1990 by Society for Neuroscience
Magnocellular and parvocellular contributions to responses in the middle temporal visual area (MT) of the macaque monkey
JH Maunsell, TA Nealey and DD DePriest
Department of Physiology, University of Rochester, New York 14642.
Many lines of evidence suggest that the visual signals relayed through the
magnocellular and parvocellular subdivisions of the primate dorsal LGN
remain largely segregated through several levels of cortical processing. It
has been suggested that this segregation persists through to the highest
stages of the visual cortex, and that the pronounced differences between
the neuronal response properties in the parietal cortex and inferotemporal
cortex may be attributed to differential contributions from magnocellular
and parvocellular signals. We have examined this hypothesis directly by
recording the responses of cortical neurons while selectively blocking
responses in the magnocellular or parvocellular layers of the LGN.
Responses were recorded from single units or multiunit clusters in the
middle temporal visual area (MT), which is part of the pathway leading to
parietal cortex and thought to receive primarily magnocellular inputs.
Responses in the MT were consistently reduced when the magnocellular
subdivision of the LGN was inactivated. The reduction was almost always
pronounced and often complete. In contrast, parvocellular block rarely
produced striking changes in MT responses and typically had very little
effect. Nevertheless, unequivocal parvocellular contributions could be
demonstrated for a minority of MT responses. At a few MT sites, responses
were recorded while magnocellular and parvocellular blocks were made
simultaneously. Responses were essentially eliminated for all these paired
blocks. These results provide direct evidence for segregation of
magnocellular and parvocellular contributions in the extrastriate visual
cortex and support the suggestion that these signals remain largely
segregated through the highest levels of cortical processing.
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