Metastability of Mean Field Neuropercolation - The Role of Inhibitory Populations

摘要：

Critical properties of dynamic models of neural populations are studied. Based on the classical work of Erdos-Renyi on the evolution of random graphs and motivated by the properties of the cortical tissue, a new class of random cellular automata called neuropercolation has been introduced recently. This work analyzes the role of inhibitory populations in generating multistable dynamics near criticality. The results are interpreted in the context of experimentally observed meta-stable behavior in the cortex.

关键词： Random graphs Cellular automata Neuropercolation Cortex Multistability

作者: Robert Kozma Marko Puljic

作者单位: Department of Mathematical Sciences, The University of Memphis, Memphis, TN 38152, USA

会议类型: 国际会议

会议名称: The Second International Conference on Cognitive Neurodynamics--2009(第二届国际认知神经动力学会议)

会议地点: 杭州

会议语种:英文

页码: 41-46

在线出版日期: 2009-11-15（万方平台首次上网日期，不代表论文的发表时间）