Dynamics of networks of randomly connected excitatory and inhibitory spiking neurons
Dynamics of networks of randomly connected excitatory and inhibitory spiking neurons
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DOI：
10.1016/s0928-4257(00)01084-6
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发表时间：
2000-09-01
影响因子：
--
通讯作者：
Brunel, N
中科院分区：
文献类型：
--
作者：
Brunel, N
本文综述了近年来对尖峰神经元种群动态的研究进展。这些研究揭示了神经元群如何跟随输入刺激的任意变化，神经元群的动态如何取决于噪声的类型，以及循环连接如何影响动态。抑制反馈对单细胞行为产生不规则性的重要性被强调。然后讨论了具有兴奋性和抑制性细胞的循环网络可以执行的计算示例。网络状态的维护作为系统的一个吸引子被讨论作为工作记忆功能的模型，在对象和空间模式。这些模型可以用来解释和预测醒着的猴子的电生理数据。(C) 2000 Elsevier Science Ltd.由Elsevier SAS出版的Editions scientifiques et medicales。
Recent advances in the understanding of the dynamics of populations of spiking neurones are reviewed. These studies shed Light on how a population of neurones can follow arbitrary Variations in input stimuli, how the dynamics of the population depends on the type of noise, and how recurrent connections influence the dynamics. The importance of inhibitory feedback for the generation of irregularity in single cell behaviour is emphasized. Examples of computation that recurrent networks with excitatory and inhibitory cells can perform are then discussed. Maintenance of a network state as an attractor of the system is discussed as a model for working memory function, in both object and spatial modalities. These models can be used to interpret and make predictions about electrophysiological data in the awake monkey. (C) 2000 Elsevier Science Ltd. Published by Editions scientifiques et medicales Elsevier SAS.