Effect of Spike-Timing-Dependent Plasticity on Stochastic Spike Synchronization in an Excitatory Neuronal Population

被引：1
|
作者：
Kim, Sang-Yoon [1 ,2 ]
Lim, Woochang [1 ,2 ]
机构：
[1] Daegu Natl Univ Educ, Inst Computat Neurosci, Daegu, South Korea
[2] Daegu Natl Univ Educ, Dept Sci Educ, Daegu, South Korea
来源：
ADVANCES IN COGNITIVE NEURODYNAMICS (VI) | 2018年
基金：
新加坡国家研究基金会;
关键词：
LTD; LTP; Spike-timing-dependent plasticity; Stochastic spike synchronization; Synaptic strength; COHERENCE; DYNAMICS; MODEL;
D O I：
10.1007/978-981-10-8854-4_42
中图分类号：
Q189 [神经科学];
学科分类号：
071006 ;
摘要：
We consider an excitatory population composed of subthreshold neurons which exhibit noise-induced spikings. This neuronal population has adaptive dynamic synaptic strengths governed by the spike-timing-dependent plasticity (STDP). In the absence of STDP, stochastic spike synchronization (SSS) between noise-induced spikings of subthreshold neurons was previously found to occur over a large range of intermediate noise intensities. Here, we investigate the effect of STDP on the SSS by varying the noise intensity. A "Matthew" effect in synaptic plasticity is found to occur due to a positive feedback process. Good synchronization gets better via long-term potentiation (LTP) of synaptic strengths, while bad synchronization gets worse via long-term depression (LTD). Emergence of LTP and LTD of synaptic strengths is investigated through microscopic studies based on both the distributions of time delays between the pre- and the postsynaptic spike times and the pair correlations between the pre- and the postsynaptic IISRs (instantaneous individual spike rates).
引用
收藏
页码：335 / 341
页数：7
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