The role of rebound spikes in the maintenance of self-sustained neural spiking activity

Santos, Bruno Andre, Gomes, Rogerio Martins and Husbands, Phil (2021) The role of rebound spikes in the maintenance of self-sustained neural spiking activity. Nonlinear Dynamics. ISSN 0924-090X

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In general, the mechanisms that maintain the activity of neural systems after a triggering stimulus has been removed are not well understood. Different mechanisms involving at the cellular and network levels have been proposed. In this work, based on analysis of a computational model of a spiking neural network, it is proposed that the spike that occurs after a neuron is inhibited (the rebound spike) can be used to sustain the activity in a recurrent inhibitory neural circuit after the stimulation has been removed. It is shown that, in order to sustain the activity, the neurons participating in the recurrent circuit should fire at low frequencies. It is also shown that the occurrence of a rebound spike depends on a combination of factors including synaptic weights, synaptic conductances and the neuron state. We point out that the model developed here is minimalist and does not aim at empirical accuracy. Its purpose is to raise and discuss theoretical issues that could contribute to the understanding of neural mechanisms underlying self-sustained neural activity.

Item Type: Article
Keywords: Self-sustained neural activity, rebound spike, neural dynamics, spiking neurons
Schools and Departments: School of Engineering and Informatics > Informatics
SWORD Depositor: Mx Elements Account
Depositing User: Mx Elements Account
Date Deposited: 27 Apr 2021 07:10
Last Modified: 06 Jul 2021 12:00

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