Dynamics of a FitzHugh-Nagumo neuron with periodic forcing
Abstract
The FitzHugh-Nagumo model is used to describe information transfer in biological systems. It is a modification of the Van der Pol equation for a relaxation oscillator that takes into account observed physiological phenomena. It has been used to model cardiac and sensory neuron impulse propagation. There is evidence that information in sensory neurons is represented by the timing of action potentials. Hopfield proposes the use of these potential timing as a computational model for pattern recognition [Nature 376, 33 (1995)].
To determine the effect of impulse characteristics to the dynamics of the model, we introduce a periodic stimulus signal to a FitzHugh-Nagumo Neuron (FHN) in the form of an impulse train. This paper shows the response of an FHN on the impulse signal's frequency and amplitude.
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