Synchronization-induced spike termination in networks of bistable neurons. (February 2019)

• Record Type: Journal Article
• Authors: Uzuntarla, Muhammet; Torres, Joaquin J.; Calim, Ali; Barreto, Ernest
• Is Part Of: Neural networks. Volume 110(2019)
• Page Start: 131
• Page End: 140
• Publication Date: 2019-02
• Subjects: Synchronization -- Spike-termination -- Excitatory population; Neural computers -- Periodicals; Neural networks (Computer science) -- Periodicals; Neural networks (Neurobiology) -- Periodicals; Nervous System -- Periodicals; Ordinateurs neuronaux -- Périodiques; Réseaux neuronaux (Informatique) -- Périodiques; Réseaux neuronaux (Neurobiologie) -- Périodiques; Neural computers; Neural networks (Computer science); Neural networks (Neurobiology); Periodicals; 006.32
• DOI: 10.1016/j.neunet.2018.11.007
• Languages: English
• ISSNs: 0893-6080

Abstract

Abstract: We observe and study a self-organized phenomenon whereby the activity in a network of spiking neurons spontaneously terminates. We consider different types of populations, consisting of bistable model neurons connected electrically by gap junctions, or by either excitatory or inhibitory synapses, in a scale-free connection topology. We find that strongly synchronized population spiking events lead to complete cessation of activity in excitatory networks, but not in gap junction or inhibitory networks. We identify the underlying mechanism responsible for this phenomenon by examining the particular shape of the excitatory postsynaptic currents that arise in the neurons. We also examine the effects of the synaptic time constant, coupling strength, and channel noise on the occurrence of the phenomenon.