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

Autor: Bing-Hong Wang, De-Bao Chen, Zhen Wang, Wu-Jie Yuan, Jian-Fang Zhou, Zhao Zhou, Stefano Boccaletti
Rok vydání: 2019
Předmět:
Zdroj: Physical review. E
99 (2019). doi:10.1103/PhysRevE.99.032419
info:cnr-pdr/source/autori:Zhou J.-F.; Yuan W.-J.; Chen D.; Wang B.-H.; Zhou Z.; Boccaletti S.; Wang Z./titolo:Synaptic modifications driven by spike-timing-dependent plasticity in weakly coupled bursting neurons/doi:10.1103%2FPhysRevE.99.032419/rivista:Physical review. E (Print)/anno:2019/pagina_da:/pagina_a:/intervallo_pagine:/volume:99
ISSN: 2470-0053
2470-0045
DOI: 10.1103/physreve.99.032419
Popis: 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.
Databáze: OpenAIRE