Presentation 2002/3/11
Self-organization of globally continuous and locally distributed information representation
Koji WADA, Masato OKADA, Koji KURATA,
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Abstract(in English) Recent study has revealed that in inferotemporal (IT) cortex, neurons form column structure like V1 But other study implies that, in IT, distributed representation is used. In this paper, we propose a new model of self-organizing map that can explain these two results consistently. In computer simulation, our model formed information representation that is globally topographical but locally distributed. We show that one model can form either of such IT like information representation or V1 like information representation, depending on input space structure.
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Keyword(in English) Self-organization / topographic map / distributed representation / random symmetric connection / infer-otemporal cortex
Paper # NC2001-137
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Committee NC
Conference Date 2002/3/11(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Self-organization of globally continuous and locally distributed information representation
Sub Title (in English)
Keyword(1) Self-organization
Keyword(2) topographic map
Keyword(3) distributed representation
Keyword(4) random symmetric connection
Keyword(5) infer-otemporal cortex
1st Author's Name Koji WADA
1st Author's Affiliation Graduate School of Science and Engineering, Saitama University:Institute of Physical and chemical Research()
2nd Author's Name Masato OKADA
2nd Author's Affiliation Institute of Physical and chemical Research
3rd Author's Name Koji KURATA
3rd Author's Affiliation Faculty of Engineering, Ryukyu University
Date 2002/3/11
Paper # NC2001-137
Volume (vol) vol.101
Number (no) 735
Page pp.pp.-
#Pages 8
Date of Issue