Presentation | 1999/2/5 A Method for Sustaining Activities in Short-term Memory Model Using Recurrent Neural Network Shuhei Okada, Jianting Cao, Shoji Tanaka, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | A short-term memory modeled by recurrent neural network has a difficulty in sustaining the activities. They eventually converge to some constant values so called the attractors. In this paper, we will propose a short-term memory model which enables to sustain the multiple activities either in learning or testing process. Moreover, we will compare the dynamics property of proposed model with biological neurons and show the reality of proposed model. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Working Memory / Short-term Memory / Attractor / Dynamics / Learning |
Paper # | NC98-89 |
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Committee | NC |
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Conference Date | 1999/2/5(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
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) | A Method for Sustaining Activities in Short-term Memory Model Using Recurrent Neural Network |
Sub Title (in English) | |
Keyword(1) | Working Memory |
Keyword(2) | Short-term Memory |
Keyword(3) | Attractor |
Keyword(4) | Dynamics |
Keyword(5) | Learning |
1st Author's Name | Shuhei Okada |
1st Author's Affiliation | Department of Electrical and Electronics Engineering, Sophia University() |
2nd Author's Name | Jianting Cao |
2nd Author's Affiliation | Department of Electrical and Electronics Engineering, Sophia University:Brain Science Institute,RIKEN |
3rd Author's Name | Shoji Tanaka |
3rd Author's Affiliation | Department of Electrical and Electronics Engineering, Sophia University |
Date | 1999/2/5 |
Paper # | NC98-89 |
Volume (vol) | vol.98 |
Number (no) | 577 |
Page | pp.pp.- |
#Pages | 8 |
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