Skewed information propagation mechanism of elemental members' communication in hierarchical evolutionary systems

2015 Fiscal Year Final Research Report

• Project/Area Number: 25540103
• Research Category: Grant-in-Aid for Challenging Exploratory Research
• Allocation Type: Multi-year Fund
• Research Field: Intelligent informatics
• Research Institution: Tokai University
• Principal Investigator: SOMEYA HIROSHI 東海大学, 情報理工学部, 准教授 (00333518)
• Co-Investigator(Kenkyū-buntansha): OKADA Yasumasa 独立行政法人国立病院機構村山医療センター(臨床研究センター), 電気生理学研究室, 室長 (80160688)
• Project Period (FY): 2013-04-01 – 2016-03-31
• Keywords: 確率的ダイナミクス解析

Outline of Final Research Achievements

We investigated information propagation mechanism in large size population that consists of small size populations in which the elemental members communicates with each other. Techniques for observing the evolutionary dynamics in the large size population were presented. A novel concept of evolutionary dynamics that can be defined in several different fitness landscapes was proposed. Neurophysiological experimental data (calcium imaging data) of in vitro and in vivo mice's respiration were obtained. We now pursue these investigations to develop mathematical models that explain the evolutionary dynamics and the neuroglial network.

Free Research Field

知能情報学