Fluctuation-Induced Network Control and Learning

Applying the Yuragi Principle of Brain and Biological Systems

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Éditeur :

Springer

Paru le : 2021-03-16

From theory to application, this book presents research on biologically and brain-inspired networking and machine learning based on Yuragi, which is the Japanese term describing the noise or fluctuations that are inherently used to control the dynamics of a system. The ...
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Éditeur

Collection
n.c

Parution
2021-03-16

Pages
236 pages

EAN papier
9789813349759

Auteur(s) du livre


Masayuki Murata received the M.E. and D.E. degrees in information and computer science from Osaka University, Japan, in 1984 and 1988, respectively. In April 1984, he joined the Tokyo Research Laboratory, IBM Japan, as a researcher. From September 1987 to January 1989, he was an assistant professor with the Computation Center, Osaka University. In February 1989, he moved to the Department of Information and Computer Sciences, Faculty of Engineering Science, Osaka University. In April 1999, he became a professor in the Cybermedia Center, Osaka University, and he now has been with the Graduate School of Information Science and Technology, Osaka University, since April 2004. He has published or presented more than 900 papers in international and domestic journals and at conferences. His research interests include computer network architecture and bio- and brain-inspired computing platforms. He is a member of IEEE, ACM, and IEICE.Kenji Leibnitz received his M.Sc. and Ph.D.degrees in information science from the University of Würzburg, Germany, in 2003. In 2004, he joined the research group of Prof. Murata at Osaka University, where he became a specially appointed associate professor in 2006. In 2010, he moved to the National Institute of Information and Communications Technology (NICT) as a senior researcher, and since 2013 he has been a principal investigator at the Center for Information and Neural Networks (CiNet) of NICT and Osaka University. His research interests include modeling and performance analysis of communication networks, especially biologically and brain-inspired mechanisms for self-organization in future networks.

Caractéristiques détaillées - droits

EAN PDF
9789813349766
Prix
126,59 €
Nombre pages copiables
2
Nombre pages imprimables
23
Taille du fichier
11069 Ko
EAN EPUB
9789813349766
Prix
126,59 €
Nombre pages copiables
2
Nombre pages imprimables
23
Taille du fichier
40776 Ko

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