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Paper Abstract and Keywords
Presentation 2018-09-21 11:10
[Invited Talk] Reservoir Computing: Theory, Physical Implementations, and Applications
Kohei Nakajima (Univ. Tokyo) PRMU2018-60 IBISML2018-37
Abstract (in Japanese) (See Japanese page) 
(in English) Reservoir Computing (RC) has been proposed as a framework for training recurrent neural networks. In this framework, low-dimensional input is projected to a high-dimensional dynamical system, which is referred to as a reservoir. If the dynamics of the reservoir involve enough nonlinearity and if enough memory is available, emulating nonlinear dynamical systems requires only the addition of a linear, static readout from the high-dimensional state space of the reservoir. Due to its generic nature, RC is not limited to digital simulations of neural networks. In fact, any high-dimensional dynamical system, including a system utilizing physical dynamics, can serve as a reservoir if it has the appropriate properties. In this talk, we will introduce the recent advancement of RC by presenting a number of new applications in the field of soft robotics. This short paper aims to introduce the basics of the framework by explaining a benchmark platform called the echo state network. The use of this example should help to clarify the advanced content in the talk from its very foundation.
Keyword (in Japanese) (See Japanese page) 
(in English) Reservoir computing / Physical reservoir computing / Recurrent neural network / Soft robotics / Soft robots / Nonlinear dynamics / Morphological computation /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 220, IBISML2018-37, pp. 149-154, Sept. 2018.
Paper # IBISML2018-37 
Date of Issue 2018-09-13 (PRMU, IBISML) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Download PDF PRMU2018-60 IBISML2018-37

Conference Information
Conference Date 2018-09-20 - 2018-09-21 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To IBISML 
Conference Code 2018-09-PRMU-IBISML-CVIM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Reservoir Computing: Theory, Physical Implementations, and Applications 
Sub Title (in English)  
Keyword(1) Reservoir computing  
Keyword(2) Physical reservoir computing  
Keyword(3) Recurrent neural network  
Keyword(4) Soft robotics  
Keyword(5) Soft robots  
Keyword(6) Nonlinear dynamics  
Keyword(7) Morphological computation  
1st Author's Name Kohei Nakajima  
1st Author's Affiliation The University of Tokyo (Univ. Tokyo)
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Date Time 2018-09-21 11:10:00 
Presentation Time 50 
Registration for IBISML 
Paper # IEICE-PRMU2018-60,IEICE-IBISML2018-37 
Volume (vol) IEICE-118 
Number (no) no.219(PRMU), no.220(IBISML) 
Page pp.149-154 
#Pages IEICE-6 
Date of Issue IEICE-PRMU-2018-09-13,IEICE-IBISML-2018-09-13 

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