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

ABSTRACT: 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 representations of information unreliable. To assess the inherent stability properties of such recurrent networks, we tested a linear summation, non-spiking neuron model with and without a "dynamic leak", corresponding to the low-pass filtering of synaptic input current by the RC circuit of the biological membrane. We first show that the output of this neuron model, in either of its two forms, follows its input at a higher fidelity than a wide range of spiking neuron models across a range of input frequencies

SUBMITTER: Rongala UB 

PROVIDER: S-EPMC8173185 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature