Topographic maps begin to be recognized as one of the major computational structures underlying neural computation in the brain. They provide dimension-reducing projections between feature spaces that seem to be established and maintained under the participation of selforganizing, adaptive processes. In this contribution, we investigate how well the structure of such maps can be replicated by simple adaptive processes of the kind proposed by Kohonen. We will particularly address the important issue, how the dimensionality of the input space affects the spatial organization of the resulting map.
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Klaus OBERMAYER, Helge RITTER, Klaus J. SCHULTEN, "A Model for the Development of the Spatial Structure of Retinotopic Maps and Orientation Columns" in IEICE TRANSACTIONS on Fundamentals,
vol. E75-A, no. 5, pp. 537-545, May 1992, doi: .
Abstract: Topographic maps begin to be recognized as one of the major computational structures underlying neural computation in the brain. They provide dimension-reducing projections between feature spaces that seem to be established and maintained under the participation of selforganizing, adaptive processes. In this contribution, we investigate how well the structure of such maps can be replicated by simple adaptive processes of the kind proposed by Kohonen. We will particularly address the important issue, how the dimensionality of the input space affects the spatial organization of the resulting map.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e75-a_5_537/_p
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@ARTICLE{e75-a_5_537,
author={Klaus OBERMAYER, Helge RITTER, Klaus J. SCHULTEN, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Model for the Development of the Spatial Structure of Retinotopic Maps and Orientation Columns},
year={1992},
volume={E75-A},
number={5},
pages={537-545},
abstract={Topographic maps begin to be recognized as one of the major computational structures underlying neural computation in the brain. They provide dimension-reducing projections between feature spaces that seem to be established and maintained under the participation of selforganizing, adaptive processes. In this contribution, we investigate how well the structure of such maps can be replicated by simple adaptive processes of the kind proposed by Kohonen. We will particularly address the important issue, how the dimensionality of the input space affects the spatial organization of the resulting map.},
keywords={},
doi={},
ISSN={},
month={May},}
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TY - JOUR
TI - A Model for the Development of the Spatial Structure of Retinotopic Maps and Orientation Columns
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 537
EP - 545
AU - Klaus OBERMAYER
AU - Helge RITTER
AU - Klaus J. SCHULTEN
PY - 1992
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E75-A
IS - 5
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - May 1992
AB - Topographic maps begin to be recognized as one of the major computational structures underlying neural computation in the brain. They provide dimension-reducing projections between feature spaces that seem to be established and maintained under the participation of selforganizing, adaptive processes. In this contribution, we investigate how well the structure of such maps can be replicated by simple adaptive processes of the kind proposed by Kohonen. We will particularly address the important issue, how the dimensionality of the input space affects the spatial organization of the resulting map.
ER -