Title

Simulating Synchronization in Neuronal Networks

Document Type

Article

Publication Date

2016

Publication Title

​American Journal of Physics

Volume Number

84

Issue Number

6

DOI

10.1119/1.4945009

Abstract

We discuss several techniques used in simulating neuronal networks by exploring how a network's connectivity structure affects its propensity for synchronous spiking. Network connectivity is generated using the Watts-Strogatz small-world algorithm, and two key measures of network structure are described. These measures quantify structural characteristics that influence collective neuronal spiking, which is simulated using the leaky integrate-and-fire model. Simulations show that adding a small number of random connections to an otherwise lattice-like connectivity structure leads to a dramatic increase in neuronal synchronization

ISSN

0002-9505

Link Out URL

https://doi.org/10.1119/1.4945009

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