Presentation | 2002/3/11 Bistability of Attractor Neural Network Model for Inferior Temporal Cortex Masato OKADA, Aya HIRANO, Tatsuya UEZU, |
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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 Griniasty et al. in the finite memory loading. We show that uncorrelated Hopfield type and 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 / Bistability / Inferior temporal cortex / Stimulus selectivity |
Paper # | NC2001-136 |
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Committee | NC |
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Conference Date | 2002/3/11(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) | Bistability of Attractor Neural Network Model for Inferior Temporal Cortex |
Sub Title (in English) | |
Keyword(1) | Associative memory model |
Keyword(2) | Attractor |
Keyword(3) | Bistability |
Keyword(4) | Inferior temporal cortex |
Keyword(5) | Stimulus selectivity |
1st Author's Name | Masato OKADA |
1st Author's Affiliation | RIKEN Brain Science Institute() |
2nd Author's Name | Aya HIRANO |
2nd Author's Affiliation | Graduate School of Human Culture, Nara Women's University |
3rd Author's Name | Tatsuya UEZU |
3rd Author's Affiliation | Graduate School of Human Culture, Nara Women's University |
Date | 2002/3/11 |
Paper # | NC2001-136 |
Volume (vol) | vol.101 |
Number (no) | 735 |
Page | pp.pp.- |
#Pages | 8 |
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