赫比理论
神经科学
峰值时间相关塑性
兴奋性突触后电位
抑制性突触后电位
突触后电位
突触可塑性
生物神经网络
Spike(软件开发)
计算机科学
人工神经网络
变质塑性
生物
人工智能
受体
软件工程
生物化学
作者
Natalia Caporale,Yang Dan
出处
期刊:Annual Review of Neuroscience
[Annual Reviews]
日期:2008-07-01
卷期号:31 (1): 25-46
被引量:1486
标识
DOI:10.1146/annurev.neuro.31.060407.125639
摘要
Spike timing–dependent plasticity (STDP) as a Hebbian synaptic learning rule has been demonstrated in various neural circuits over a wide spectrum of species, from insects to humans. The dependence of synaptic modification on the order of pre- and postsynaptic spiking within a critical window of tens of milliseconds has profound functional implications. Over the past decade, significant progress has been made in understanding the cellular mechanisms of STDP at both excitatory and inhibitory synapses and of the associated changes in neuronal excitability and synaptic integration. Beyond the basic asymmetric window, recent studies have also revealed several layers of complexity in STDP, including its dependence on dendritic location, the nonlinear integration of synaptic modification induced by complex spike trains, and the modulation of STDP by inhibitory and neuromodulatory inputs. Finally, the functional consequences of STDP have been examined directly in an increasing number of neural circuits in vivo.
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