Local learning rules: predicted influence of dendritic location on synaptic modification in spike-timing-dependent plasticity
Local learning rules: predicted influence of dendritic location on synaptic modification in spike-timing-dependent plasticity
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局部学习规则:树突位置对尖峰时间依赖性可塑性突触修饰的预测影响
DOI:
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发表时间:
2005
影响因子:
1.9
通讯作者:
F. Wörgötter
中科院分区:
文献类型:
--
作者:
A. Saudargienė;B. Porr;F. Wörgötter
Abstract.Recent indirect experimental evidence suggests that synaptic plasticity changes along the dendrites of a neuron. Here we present a synaptic plasticity rule which is controlled by the properties of the pre- and postsynaptic signals. Using recorded membrane traces of back-propagating and dendritic spikes we demonstrate that LTP and LTD will depend specifically on the shape of the postsynaptic depolarization at a given dendritic site. We find that asymmetrical spike-timing-dependent plasticity (STDP) can be replaced by temporally symmetrical plasticity within physiologically relevant time windows if the postsynaptic depolarization rises shallow. Presynaptically the rule depends on the NMDA channel characteristic, and the model predicts that an increase in Mg2+ will attenuate the STDP curve without changing its shape. Furthermore, the model suggests that the profile of LTD should be governed by the postsynaptic signal while that of LTP mainly depends on the presynaptic signal shape.
影响因子:
2.5
作者:
Chen, HX;Otmakhov, N;Lisman, J
通讯作者:
Lisman, J
影响因子:
2.5
作者:
Yang, SN;Tang, YG;Zucker, RS
通讯作者:
Zucker, RS
影响因子:
3.7
作者:
Abbott, LF;Blum, KI
通讯作者:
Blum, KI