Chaos An Interdisciplinary Journal of Nonlinear Science · 2023 · 10 citations · 40 references
Life SciencesBiophysicsNeuroscienceComputational NeuroscienceNeurobiophysicsNeurophysiologyNetwork DynamicsNeural Circuit DynamicsNeural Circuit ModelingNeuronal DynamicsSpiking Neural NetworksSynaptic TransmissionBurst DurationMagnetic FluxMagnetic Flux DistributionMembrane Potential CouplingNeural Network DynamicsNeuron DynamicsNeuronal Network DynamicsSpike Train Dynamics
We investigate the dynamics of nonlocally coupled Hindmarsh-Rose neurons, modified by coupling the induced magnetic flux to the membrane potential with a quadratic memristor of strength k. The nonlocal coupling consists of the interaction of each neuron with its neighbors within a fixed radius, which influence the membrane potential of the neuron with coupling intensity σ. For such local dynamics and network of interactions, we investigate how variations of k and σ affect the collective dynamics. We find that when increasing k as well as when increasing σ, coherence typically increases, except for small ranges of these parameters where the opposite behavior can occur. Besides affecting coherence, varying k also affects the pattern of bursts and spikes, namely, for large enough k, burst frequency is augmented, the number and amplitude of the spikes are reduced, and quiescent periods become longer. Results are displayed for an intermediate range of interactions with radius 1/4 of the network size, but we also varied the range of interactions, ranging from first-neighbor to all-to-all couplings, observing in all cases a qualitatively similar impact of induction.
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