Santos2021_Article_TheRoleOfReboundSpikesInTheMai.pdf (1.19 MB)
The role of rebound spikes in the maintenance of self-sustained neural spiking activity
Version 2 2023-06-12, 09:50
Version 1 2023-06-09, 23:43
journal contribution
posted on 2023-06-12, 09:50 authored by Bruno Andre Santos, Rogerio Martins Gomes, Phil HusbandsPhil HusbandsIn 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.
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- Published
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- Published version
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Nonlinear DynamicsISSN
0924-090XPublisher
SpringerExternal DOI
Department affiliated with
- Informatics Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2021-04-27First Open Access (FOA) Date
2021-07-06First Compliant Deposit (FCD) Date
2021-04-26Usage metrics
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