TY - JOUR
T1 - Receptive field characteristics that allow parietal lobe neurons to encode spatial properties of visual input
T2 - A computational analysis
AU - O'Reilly, Randall C.
AU - Kosslyn, Stephen M.
AU - Marsolek, Chad J.
AU - Chabris, Christopher F.
N1 - Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 1990
Y1 - 1990
N2 - A subset of visually sensitive neurons in the parietal lobe apparently can encode the locations of stimuli, whereas visually sensitive neurons in the inferotemporal cortex (area IT) cannot. This finding is puzzling because both sorts of neurons have large receptive fields, and yet location can be encoded in one case, but not in the other. The experiments reported here investigated the hypothesis that a crucial difference between the IT and parietal neurons is the spatial distribution of their response profiles. In particular, IT neurons typically respond maximally when stimuli are presented at the fovea, whereas parietal neurons do not. We found that a parallel-distributed-processing network could map a point in an array to a coordinate representation more easily when a greater proportion of its input units had response peaks off the center of the input array. Furthermore, this result did not depend on potentially implausible assumptions about the regularity of the overlap in receptive fields or the homogeneity of the response profiles of different units. Finally, the internal representations formed within the network had receptive fields resembling those found in area 7a of the parietal lobe.
AB - A subset of visually sensitive neurons in the parietal lobe apparently can encode the locations of stimuli, whereas visually sensitive neurons in the inferotemporal cortex (area IT) cannot. This finding is puzzling because both sorts of neurons have large receptive fields, and yet location can be encoded in one case, but not in the other. The experiments reported here investigated the hypothesis that a crucial difference between the IT and parietal neurons is the spatial distribution of their response profiles. In particular, IT neurons typically respond maximally when stimuli are presented at the fovea, whereas parietal neurons do not. We found that a parallel-distributed-processing network could map a point in an array to a coordinate representation more easily when a greater proportion of its input units had response peaks off the center of the input array. Furthermore, this result did not depend on potentially implausible assumptions about the regularity of the overlap in receptive fields or the homogeneity of the response profiles of different units. Finally, the internal representations formed within the network had receptive fields resembling those found in area 7a of the parietal lobe.
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U2 - 10.1162/jocn.1990.2.2.141
DO - 10.1162/jocn.1990.2.2.141
M3 - Article
AN - SCOPUS:0025082601
SN - 0898-929X
VL - 2
SP - 141
EP - 155
JO - Journal of cognitive neuroscience
JF - Journal of cognitive neuroscience
IS - 2
ER -