Competitive Hebbian learning through spike-timing-dependent synaptic plasticity
Competitive Hebbian learning through spike-timing-dependent synaptic plasticity
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DOI：
10.1038/78829
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发表时间：
2000-09-01
影响因子：
25
通讯作者：
Abbott, LF
中科院分区：
文献类型：
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作者：
Song, S;Miller, KD;Abbott, LF
赫布的发育和学习模型需要活动依赖性突触可塑性和诱导不同突触之间竞争的机制。实验观察到的长期突触可塑性的一种形式，我们称之为尖峰时间依赖性（STDP），取决于突触前和突触后动作电位的相对时间。在建模研究中，我们发现这种形式的突触修饰可以自动平衡突触强度，使突触后放电不规则，但对突触前发放时间更敏感。有人认为，体内的神经元在这样一个平衡的制度。可被STDP修饰的突触竞争控制突触后动作电位的时间。激发突触后神经元的输入具有短延迟或在相关组中起作用的输入能够最成功地竞争并形成强大的突触，而较长延迟或较低有效输入的突触被削弱。
Hebbian models of development and learning require both activity-dependent synaptic plasticity and a mechanism that induces competition between different synapses. One form of experimentally observed long-term synaptic plasticity, which we call spike-timing-dependent plasticity (STDP), depends on the relative timing of pre- and postsynaptic action potentials. In modeling studies, we find that this form of synaptic modification can automatically balance synaptic strengths to make postsynaptic firing irregular but more sensitive to presynaptic spike timing. It has been argued that neurons in vivo operate in such a balanced regime. Synapses modifiable by STDP compete for control of the timing of postsynaptic action potentials. Inputs that fire the postsynaptic neuron with short latency or that act in correlated groups are able to compete most successfully and develop strong synapses, while synapses of longer-latency or less-effective inputs are weakened.