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| Presentation | 2014-03-18 11:00 Active memory capacity in a neural network with short-term synaptic plasticity Kenji Tanaka (Univ. of Tokyo), Yasuhiko Igarashi (Univ. of Tokyo/JSPS), Masato Okada (Univ. of Tokyo/RIKEN)  NC2013-105 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In pre-frontal cortex (PFC), electro physiological experiments studies have established a link between the neuronal activity and working memory that temporary holds information for processing purpose. Therefore, many theoretical studies investigated how to implement this function on the recurrent neural networks. Previous study propose that the working memory model with short-term synaptic plasticity can reproduce a high activity persistent state and a oscillation activity state reported by several electro physiological experiments. However, functional difference between these activity state has not been argued fully. Here, we study two types of activity comparatively as keeping multiple items, using working memory model with short-term synaptic plasticity. As a result, working memory capacity by a high activity persistent state be easily influenced with background input, but by a oscillation activity state be hardly influenced with background input. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | short-term synaptic plasticity / working memory / active memory capacity / rate model / pre-frontal cortex / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 113, no. 500, NC2013-105, pp. 97-102, March 2014. | |
| Paper # | NC2013-105 | |
| Date of Issue | 2014-03-10 (NC) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | NC2013-105 |
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| Conference Information | |
| Committee | NC MBE |
| Conference Date | 2014-03-17 - 2014-03-18 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tamagawa University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | NC |
| Conference Code | 2014-03-NC-MBE |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Active memory capacity in a neural network with short-term synaptic plasticity |
| Sub Title (in English) | |
| Keyword(1) | short-term synaptic plasticity |
| Keyword(2) | working memory |
| Keyword(3) | active memory capacity |
| Keyword(4) | rate model |
| Keyword(5) | pre-frontal cortex |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Kenji Tanaka |
| 1st Author's Affiliation | University of Tokyo (Univ. of Tokyo) |
| 2nd Author's Name | Yasuhiko Igarashi |
| 2nd Author's Affiliation | University of Tokyo/JSPS (Univ. of Tokyo/JSPS) |
| 3rd Author's Name | Masato Okada |
| 3rd Author's Affiliation | University of Tokyo/RIKEN (Univ. of Tokyo/RIKEN) |
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| Speaker | Author-1 |
| Date Time | 2014-03-18 11:00:00 |
| Presentation Time | 20 minutes |
| Registration for | NC |
| Paper # | NC2013-105 |
| Volume (vol) | vol.113 |
| Number (no) | no.500 |
| Page | pp.97-102 |
| #Pages | 6 |
| Date of Issue | 2014-03-10 (NC) |
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