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

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 interspike-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.

Selective synchronization of coupled bifurcating neurons for phase shift of background oscillation

“…The correlated firing among neurons has been observed in visual information processing in the brain 2,3 . The authors have studied the chaotic synchronization of the neural spike response and its application to the segmentation of input images 4 ; feature linking of the visual image of moving objects 5 ; and the decomposition of superimposed chaotic spike sequences 6 . In order to represent multiple information by chaotic synchronized cell assemblies, confirming the coexistence of synchronized assemblies is necessary.…”