Simulating Synchronization in Neuronal Networks
American Journal of Physics
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
Fink, Christian G., "Simulating Synchronization in Neuronal Networks" (2016). Neuroscience Faculty Work. 5.
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