Study on a dynamic information coding using chaotic synchronization in the spike coupled neural network

2015 Fiscal Year Final Research Report

• Project/Area Number: 24650120
• Research Category: Grant-in-Aid for Challenging Exploratory Research
• Allocation Type: Multi-year Fund
• Research Field: Sensitivity informatics/Soft computing
• Research Institution: Fukuoka Institute of Technology
• Principal Investigator: Yamaguchi Akihiro 福岡工業大学, 情報工学部, 准教授 (60281789)
• Project Period (FY): 2012-04-01 – 2016-03-31
• Keywords: ニューラルコーディング / カオス同期 / スパイクレスポンスモデル / セグメンテーション / バインディング問題 / GPGPU

Outline of Final Research Achievements

A synchronized response of two-dimensional coupled system of chaotic spike response neurons (CSRNs) is investigated in the view point of the neural coding. The spike response model is employed as a neuron model and extended to exhibit chaotic spike responses by adding a background sinusoidal oscillation. For the coupled system of two CSRNs, the parameter region where chaotic synchronization occurs, is obtained by the numerical analysis of synchronization ratio, auto-correlation and cross-correlation. For the two dimensional coupled system of CSRNs, synchronized responses to visual stimuli are analyzed as an index of segmentation and feature linking. Consequently, resulting chaotic neural assemblies have high correlation among neurons with similar input. These results indicate the possibility of feature linking using the chaotic synchronization of spike responses.

Free Research Field

非線形力学系の情報学