A Non-spiking Neuron Model With Dynamic Leak to Avoid Instability in Recurrent Networks

A Non-spiking Neuron Model With Dynamic Leak to Avoid Instability in Recurrent Networks

Recurrent circuitry components are distributed widely within the brain, including both excitatory and inhibitory synaptic connections. Recurrent neuronal networks have potential stability problems, perhaps a predisposition to epilepsy. More generally, instability risks making internal representation...

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Bibliographic Details
Main Authors: Udaya B. Rongala, Jonas M. D. Enander, Matthias Kohler, Gerald E. Loeb, Henrik Jörntell
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-05-01
Series:Frontiers in Computational Neuroscience
Subjects:
neuron model
recurrent networks
dynamic leak
spurious high frequency signals
non-spiking
excitation
Online Access:https://www.frontiersin.org/articles/10.3389/fncom.2021.656401/full

Internet

https://www.frontiersin.org/articles/10.3389/fncom.2021.656401/full

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