Authors
Akihiro Yamaguchi, Satoshi Arakane, Masao Kubo
Corresponding Author
Akihiro Yamaguchi
Available Online 1 March 2016.
DOI
https://doi.org/10.2991/jrnal.2016.2.4.6
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 ALife Robotics Corp. Ltd.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).