Feature Linking using Synchronized Responses in Chaotic Cellar Neural Networks for Visual Stimulus of Moving Objects

DOI

10.2991/jrnal.2016.2.4.6How to use a DOI?

Keywords

chaotic synchronization, neural coding, spike response model, feature linking

Abstract

A feature-linking mechanism using the synchronized responses of neural assemblies was studied for chaotic cellar neural networks (Chaotic-CNN). Chaotic-CNNs consist of chaotic spike response neurons that show chaotic inter-spike-interval dynamics. In our scheme of feature linking, the features of the target objects are linked by the synchronized spike responses characterized by the temporal chaotic pattern of the spike sequence. In this paper, we analyze the synchronized spike responses invoked by the visual stimulus of moving bars. Consequently, the resulting neural assemblies have higher correlation for the visual stimulus of two bars moving in the same direction than in the opposite direction. We also discuss the possibility of feature linking using the chaotic synchronized responses.

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/).

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TY  - JOUR
AU  - Akihiro Yamaguchi
AU  - Satoshi Arakane
AU  - Masao Kubo
PY  - 2016
DA  - 2016/03/01
TI  - Feature Linking using Synchronized Responses in Chaotic Cellar Neural Networks for Visual Stimulus of Moving Objects
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 230
EP  - 233
VL  - 2
IS  - 4
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.2016.2.4.6
DO  - 10.2991/jrnal.2016.2.4.6
ID  - Yamaguchi2016
ER  -