A fractional-order discrete memristor neuron model: Nodal and network dynamics

We discuss the dynamics of a fractional order discrete neuron model with electromagnetic flux coupling. The discussed neuron model is a simple one-dimensional map which is modified by considering flux coupling. We consider a discrete fractional order memristor to mimic the effects of electromagnetic flux on the neuron model. The bifurcation dynamics of the fractional order neuron map show an inverse period-doubling route to chaos as a function of control parameters, namely the fractional order of the map and the flux coupling coefficient. The bifurcation dynamics of the systems are derived both in the time and frequency domains. We present a two-parameter phase diagram using the Lyapunov exponent to categorize the various dynamics present in the system. In addition to the Lyapunov exponent, we use the entropy of the model to distinguish the various dynamics of the systems. To investigate the network behavior of the fractional order neuron map, a lattice array of NxN nodes is constructed and external periodic stimuli are applied to the network. The formation of spiral waves in the network and the impact of various parameters, like the fractional order, flux coupling coefficient and the coupling strength on the wave propagation are also considered in our analysis.

Automated summary

We discuss the dynamics of a fractional order discrete neuron model with electromagnetic flux coupling. The bifurcation dynamics of the fractional order neuron map show an inverse period-doubling route to chaos as a function of control parameters. We present a two-parameter phase diagram using the Lyapunov exponent to categorize the various dynamics present in the system. In addition, we explore the network behavior of the fractional order neuron map and investigate the impact of various parameters on wave propagation.