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| Presentation | 2020-03-09 15:20 A Mathematical Model for a Synapse Device Based on Spintronics Taku Sato, Kikuchi Yushi, Aleksandr Kurenkov, Yoshihiko Horio, Shunsuke Fukami (Tohoku Univ.)  NLP2019-122 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Recently, there is an increasing interest in a Spiking Neural Network (SNN) and Spike-Timing Dependent Plasticity (STDP), because of their brain-like spatio-temporal information processing scheme. On the other hand, non-volatile analog memories are necessary to implement the brain inspired hardware. These non-volatile memories are expected to reproduce the characteristics and dynamics of real synapses in the brain. In this paper, we propose and evaluate a mathematical model that describes the STDP-like characteristics and dynamics of a spintronics synaptic device based on the device temperature dynamics. We confirm through simulations that the proposed model would be useful for both circuit designs and SNN designs. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Spiking neural network / spike-timing dependent plasticity / synaptic device / spintronics / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 471, NLP2019-122, pp. 55-60, March 2020. | |
| Paper # | NLP2019-122 | |
| Date of Issue | 2020-03-02 (NLP) | |
| 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 | NLP2019-122 |
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| Conference Information | |
| Committee | MSS NLP |
| Conference Date | 2020-03-09 - 2020-03-10 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | SICE-DES, IEICE-MSS, IEICE-NLP |
| Paper Information | |
| Registration To | NLP |
| Conference Code | 2020-03-MSS-NLP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Mathematical Model for a Synapse Device Based on Spintronics |
| Sub Title (in English) | |
| Keyword(1) | Spiking neural network |
| Keyword(2) | spike-timing dependent plasticity |
| Keyword(3) | synaptic device |
| Keyword(4) | spintronics |
| Keyword(5) | |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Taku Sato |
| 1st Author's Affiliation | Tohoku University (Tohoku Univ.) |
| 2nd Author's Name | Kikuchi Yushi |
| 2nd Author's Affiliation | Tohoku University (Tohoku Univ.) |
| 3rd Author's Name | Aleksandr Kurenkov |
| 3rd Author's Affiliation | Tohoku University (Tohoku Univ.) |
| 4th Author's Name | Yoshihiko Horio |
| 4th Author's Affiliation | Tohoku University (Tohoku Univ.) |
| 5th Author's Name | Shunsuke Fukami |
| 5th Author's Affiliation | Tohoku University (Tohoku Univ.) |
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| Speaker | Author-1 |
| Date Time | 2020-03-09 15:20:00 |
| Presentation Time | 25 minutes |
| Registration for | NLP |
| Paper # | NLP2019-122 |
| Volume (vol) | vol.119 |
| Number (no) | no.471 |
| Page | pp.55-60 |
| #Pages | 6 |
| Date of Issue | 2020-03-02 (NLP) |
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