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神经回路的尖峰时间依赖性可塑性。

Spike timing-dependent plasticity of neural circuits.

作者信息

Dan Yang, Poo Mu-Ming

机构信息

Division of Neurobiology, Department of Molecular and Cell Biology and Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA 94720 USA.

出版信息

Neuron. 2004 Sep 30;44(1):23-30. doi: 10.1016/j.neuron.2004.09.007.

Abstract

Recent findings of spike timing-dependent plasticity (STDP) have stimulated much interest among experimentalists and theorists. Beyond the traditional correlation-based Hebbian plasticity, STDP opens up new avenues for understanding information coding and circuit plasticity that depend on the precise timing of neuronal spikes. Here we summarize experimental characterization of STDP at various synapses, the underlying cellular mechanisms, and the associated changes in neuronal excitability and dendritic integration. We also describe STDP in the context of complex spike patterns and its dependence on the dendritic location of the synapse. Finally, we discuss timing-dependent modification of neuronal receptive fields and human visual perception and the computational significance of STDP as a synaptic learning rule.

摘要

尖峰时间依赖性可塑性(STDP)的最新研究成果激发了实验人员和理论家的浓厚兴趣。除了传统的基于相关性的赫布可塑性之外,STDP为理解依赖于神经元尖峰精确时间的信息编码和电路可塑性开辟了新途径。在此,我们总结了不同突触处STDP的实验特征、潜在的细胞机制以及神经元兴奋性和树突整合的相关变化。我们还描述了复杂尖峰模式背景下的STDP及其对突触树突位置的依赖性。最后,我们讨论了神经元感受野的时间依赖性修饰和人类视觉感知,以及STDP作为一种突触学习规则的计算意义。

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