An Optimal Power-Law for Synchrony and Lognormally Synaptic Weighted Hub Networks

• 来源期刊: 中国物理快报（英文版）
• 年，卷（期）: 2013,（9）
• 页码范围: 190-193
• 页数: 4页
• 语种: 英文
• DOI: 10.1088/0256-307X/30/9/098701

摘要

Details about the structure of a network model are revealed at the spontaneous spike activity level,in which the power-law of synchrony is optimized to that observed in the CA3 hippocampal slice cultures.The network model is subject to spike noise with exponentially distributed interspike intervals.The excitatory (E) and/or inhibitory (I) neurons interact through synapses whose weights show a log-normal distribution.The spike behavior observed in the network model with the appropriate log-normal distributed synaptic weights fits best to that observed in the experiment.The best-fit is then achieved with high activities of I neurons having a hub-like structure,in which the I neurons,subject to optimized spike noise,are intensively projected from low active E neurons.