PHASE TRANSITIONS IN A MODEL OF COOPERATIVE BEHAVIOR IN THE BRAIN

摘要：

A series of neural network systems have recently been proposed that computationally perform most efficiently, e.g., in relation with the task of associative memory. Their definition and most relevant features, as obtained from several theoretical and numerical studies, are reviewed here. The emphasis is on showing that complex functions of the brain are intimately related to the occurrence of (nonequilibrium) phase transitions.

作者: J. MARRO

作者单位: Institute Carlos I for Theoretical and Computational Physics, and Departamento de Electromagnetismo y Ftsica de la Materia, University of Granada, 18071-Granada, Spain

会议类型: 国际会议

会议名称: The Joint Conference of ICCP6 and CCP2003(第6届国际计算伦理会议)

会议地点: 北京

会议语种:英文

页码: 58-62

在线出版日期: 2004-05-23（万方平台首次上网日期，不代表论文的发表时间）