Feature Linking using Synchronized Responses in Chaotic Cellar Neural Networks for Visual Stimulus of Moving Objects
- https://doi.org/10.2991/jrnal.2016.2.4.6How to use a DOI?
- chaotic synchronization, neural coding, spike response model, feature linking
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.
- © 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/).
Cite this article
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 - https://doi.org/10.2991/jrnal.2016.2.4.6 ID - Yamaguchi2016 ER -