Singular perturbation of N-front travelling waves in the Fitzhugh---Nagumo equations
Nonlinear Analysis: Real World Applications
Polychronization: Computation with Spikes
Neural Computation
Neural Computation
The high-conductance state of cortical networks
Neural Computation
Complex evolution of spike patterns during burst propagation through feed-forward networks
Biological Cybernetics
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We analyze spiking responses of excitable neuron model with a winding threshold manifold on a pulse stimulation. The model is stimulated with external pulse stimuli and can generate nonlinear integrate-and-fire and resonant responses typical for excitable neuronal cells (all-or-none). In addition we show that for certain parameter range there is a possibility to trigger a spiking sequence with a finite number of spikes (a spiking message) in the response on a short stimulus pulse. So active transformation of N incoming pulses to M (with MN) outgoing spikes is possible. At the level of single neuron computations such property can provide an active ''spike source'' compensating ''spike dissipation'' due to the integrate-and-fire N to 1 response. We delineate the dynamical mechanism for the N to M transformation based on the winding threshold manifold in the neighborhood of big saddle loop bifurcation. Based on the theoretical predictions, a nonlinear electronic circuit is designed implementing the active transmission in physical conditions.