Multiplex Communication in 2D Mesh Neural Network

DOI

10.2991/cisia-15.2015.157How to use a DOI?

Keywords

brain information processing; neural circuit; pseudo random sequence; M-sequence; multiplex communication

Abstract

We have already analyzed and reported on multiplex communication in neural network. However, these are composed and designed so as to force the network communicate with multiplexed manner using “code” or “temporal sequence.” That is, the network has a main loop and some coding/decoding circuits, and these are somewhat artificial. In this paper, we show without these artificial guidance, it is also possible to communicate with multiplexing in a natural 2D grid shape neural network, where some learning algorithm are employed to facilitate to find paths from a transmitting neuron to a receiving neuron. We also show that in these neural networks, random sequences are more frequent in number than that of non-random sequences.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - T. Kamimura
AU  - Y. Yagi
AU  - S. Tamura
AU  - Y.W Chen
PY  - 2015/06
DA  - 2015/06
TI  - Multiplex Communication in 2D Mesh Neural Network
BT  - Proceedings of the International Conference on Computer Information Systems and Industrial Applications
PB  - Atlantis Press
SP  - 577
EP  - 580
SN  - 2352-538X
UR  - https://doi.org/10.2991/cisia-15.2015.157
DO  - 10.2991/cisia-15.2015.157
ID  - Kamimura2015/06
ER  -