Presentation | 2005/11/12 Multiple stability of Attractor Neural Network Model for Inferior Temporal Cortex : Case of Sparse Cording Tomoyuki KIMOTO, Tatsuya UEDZU, Masato OKADA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We study a neural network model for inferior temporal cortex proposed by Amit et al. in the finite memory loading and sparase coding. We show that uncorrelated Hopfield type and some correlated attractors coexist, and examine the retrieval processes for these attractors when the initial state is set to a noisy-degraded stored pattern. We found that there exists a critical value of initial overlap, that is, the system converges to the correlated attractor when the degree of noise is large, otherwise to the Hopfield type attractor. We resolve controversy of previously obtained experimental findings regarding neuron properties in the inferior temporal cortex, and propose a novel experimental paradigm based on these theoretical results. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Associative memory model / Attractor / Multiple stability / Inferior temporal cortex / Stimulus selectivity |
Paper # | NC2005-75 |
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Committee | NC |
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Conference Date | 2005/11/12(1days) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Multiple stability of Attractor Neural Network Model for Inferior Temporal Cortex : Case of Sparse Cording |
Sub Title (in English) | |
Keyword(1) | Associative memory model |
Keyword(2) | Attractor |
Keyword(3) | Multiple stability |
Keyword(4) | Inferior temporal cortex |
Keyword(5) | Stimulus selectivity |
1st Author's Name | Tomoyuki KIMOTO |
1st Author's Affiliation | Oita National College of Technology() |
2nd Author's Name | Tatsuya UEDZU |
2nd Author's Affiliation | Graduate School of Human Culture, Nara Women's University |
3rd Author's Name | Masato OKADA |
3rd Author's Affiliation | Graduate School of Frontier Sciences, University of Tokyo |
Date | 2005/11/12 |
Paper # | NC2005-75 |
Volume (vol) | vol.105 |
Number (no) | 419 |
Page | pp.pp.- |
#Pages | 6 |
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