Synaptic modifications driven by spike-timing-dependent plasticity in weakly coupled bursting neurons

Jian Fang Zhou, Wu Jie Yuan, Debao Chen, Bing Hong Wang, Zhao Zhou, Stefano Boccaletti, Zhen Wang

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

In the course of development, sleep, or mental disorders, certain neurons in the brain display spontaneous spike-burst activity. The synaptic plasticity evoked by such activity is here studied in the presence of spike-timing-dependent plasticity (STDP). In two chemically coupled bursting model neurons, the spike-burst activity can translate the STDP related to pre- and postsynaptic spike activity into burst-timing-dependent plasticity (BTDP), based on the timing of bursts of pre- and postsynaptic neurons. The resulting BTDP exhibits exponential decays with the same time scales as those of STDP. In weakly coupled bursting neuron networks, the synaptic modification driven by the spike-burst activity obeys a power-law distribution. The model can also produce a power-law distribution of synaptic weights. Here, the considered bursting behavior is made of stereotypical groups of spikes, and bursting is evenly spaced by long intervals.

Original languageEnglish
Article number032419
JournalPhysical Review E - Statistical, Nonlinear, and Soft Matter Physics
Volume99
Issue number3
DOIs
StatePublished - 26 Mar 2019

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