Synchronized Response to Grayscale Image Inputs in Chaotic Cellular Neural Network

DOI

10.2991/jrnal.2015.2.1.7How to use a DOI?

Keywords

chaotic synchronization, neural coding, spike response model, visual segmentation

Abstract

In this study, the synchronized response in the chaotic cellular neural network for a grayscale visual stimulus was investigated in the viewpoint of neural coding. Simple gradation patterns were used as visual stimuli and the synchronized response was analyzed by the correlation of the spike firing times. As a result, synchronized responses were observed for the neurons that had similar input values and formed chaotic cell assemblies. Each assembly was distinguished from the others in terms of cross-correlation.

Copyright

© 2013, 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/).

Download article (PDF)

TY  - JOUR
AU  - Masayuki Fujiwara
AU  - Akihiro Yamaguchi
AU  - Masao Kubo
PY  - 2015
DA  - 2015/06/01
TI  - Synchronized Response to Grayscale Image Inputs in Chaotic Cellular Neural Network
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 26
EP  - 29
VL  - 2
IS  - 1
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.2015.2.1.7
DO  - 10.2991/jrnal.2015.2.1.7
ID  - Fujiwara2015
ER  -