Interplay between a phase response curve and spike-timing-dependent plasticity leading to wireless clustering

作     者：Hideyuki Câteau Katsunori Kitano Tomoki Fukai 

作者机构：Laboratory for Neural Circut Theory RIKEN Brain Science Institute 2–1 Hirowasa Wako Saitama 351-0198 Japan Department of Human and Computer Intelligence Ritsumeikan University 1-1-1 Nojihigashi Kusatsu Shiga 525-8577 Japan Department of Complexity Science and Engineering University of Tokyo Kashiwa Chiba 277–8561 Japan 

出 版 物：《Physical Review E》 (物理学评论E辑：统计、非线性和软体物理学)

年 卷 期：2008年第77卷第5期

页      面：051909-051909页

核心收录：

学科分类：07[理学] 070203[理学-原子与分子物理] 0702[理学-物理学] 

主　　题：HIPPOCAMPAL-NEURONS SYNAPTIC PLASTICITY COUPLED OSCILLATORS HEBBIAN PLASTICITY RESETTING CURVES CORTICAL-NEURONS SYNCHRONIZATION NETWORKS CORTEX MODEL 

摘      要：A phase response curve (PRC) characterizes the signal transduction between oscillators such as neurons on a fixed network in a minimal manner, while spike-timing-dependent plasiticity (STDP) characterizes the way of rewiring networks in an activity-dependent manner. This paper demonstrates that these two key properties both related to the interaction times of oscillators work synergetically to carve functionally useful circuits. STDP working on neurons that prefer asynchrony converts the initial asynchronous firing to clustered firing with synchrony within a cluster. They get synchronized within a cluster despite their preference to asynchrony because STDP selectively disrupts intracluster connections, which we call wireless clustering. Our PRC analysis reveals a triad mechanism: the network structure affects how the PRC is read out to determine the synchrony tendency, the synchrony tendency affects how the STDP works, and STDP affects the network structure, closing the loop.