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Paper Abstract and Keywords
Presentation 2019-06-17 13:00
Analysis and application of periodic orbits in dynamic binary neural networks
Shota Anzai, Seitaro Koyama, Toshimichi Saito (HU) NC2019-1
Abstract (in Japanese) (See Japanese page) 
(in English) This paper studies a simple dynamic binary neural network and its application.
In the network, each neuron transforms tree binary inputs to one binary outputs via the signum activation function:
the network is characterized by sparse connection of the local binary connection.
Depending on the parameters and initial condition, the network can generate various binary periodic orbits.
The sparse connection is suitable for FPGA based hardware implementation and precise numerical analysis.
First, we give parameters conditions that guarantee storage of a desired periodic orbit and its local stability.
Second, we consider two typical examples of periodic orbits based on the insect walking gaits.
Switching between the two periodic orbits is also considered.
Suitable parameters of the network is given after trial-and-errors.
Third, applying Verilog simulation, a test circuit of the network is designed and generation of the periodic orbits is confirmed.
These results will be developed into application to an FPGA based hardware of central pattern generators.
Keyword (in Japanese) (See Japanese page) 
(in English) binary neural networks / sparsity / central pattern generators / / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 88, NC2019-1, pp. 1-1, June 2019.
Paper # NC2019-1 
Date of Issue 2019-06-10 (NC) 
ISSN 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 NC2019-1

Conference Information
Committee NC IBISML IPSJ-MPS IPSJ-BIO  
Conference Date 2019-06-17 - 2019-06-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Institute of Science and Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Neurocomputing, Machine Learning Approach to Biodata Mining, and General 
Paper Information
Registration To NC 
Conference Code 2019-06-NC-IBISML-MPS-BIO 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analysis and application of periodic orbits in dynamic binary neural networks 
Sub Title (in English)  
Keyword(1) binary neural networks  
Keyword(2) sparsity  
Keyword(3) central pattern generators  
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1st Author's Name Shota Anzai  
1st Author's Affiliation HOSEI University (HU)
2nd Author's Name Seitaro Koyama  
2nd Author's Affiliation HOSEI University (HU)
3rd Author's Name Toshimichi Saito  
3rd Author's Affiliation HOSEI University (HU)
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Speaker Author-1 
Date Time 2019-06-17 13:00:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2019-1 
Volume (vol) vol.119 
Number (no) no.88 
Page p.1 
#Pages 1 
Date of Issue 2019-06-10 (NC) 

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