脉冲神经元网络中小世界结构的稳健涌现。
Robust emergence of small-world structure in networks of spiking neurons.
机构信息
Laboratory for Perceptual Dynamics, RIKEN Brain Science Institute, 2-1 Hirosawa, Wako-shi, Saitama, 351-0198, Japan.
出版信息
Cogn Neurodyn. 2007 Mar;1(1):39-51. doi: 10.1007/s11571-006-9006-5.
Abstract
Spontaneous activity in biological neural networks shows patterns of dynamic synchronization. We propose that these patterns support the formation of a small-world structure-network connectivity optimal for distributed information processing. We present numerical simulations with connected Hindmarsh-Rose neurons in which, starting from random connection distributions, small-world networks evolve as a result of applying an adaptive rewiring rule. The rule connects pairs of neurons that tend fire in synchrony, and disconnects ones that fail to synchronize. Repeated application of the rule leads to small-world structures. This mechanism is robustly observed for bursting and irregular firing regimes.
摘要
生物神经网络中的自发性活动表现出动态同步的模式。我们提出，这些模式支持小世界结构的形成——一种网络连接方式，对于分布式信息处理是最优的。我们通过连接的 Hindmarsh-Rose 神经元进行数值模拟，在这些模拟中，从随机的连接分布开始，小世界网络作为应用自适应重连规则的结果而演变。该规则连接趋于同步放电的神经元对，并断开未能同步的神经元对。该规则的重复应用会导致小世界结构的出现。这种机制在爆发和不规则点火模式下都得到了稳健的观察。
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