The bifurcating neuron network 1
Neural Networks
2005 Special Issue: Rich dynamics of pulse-coupled spiking neurons with a triangular base signal
Neural Networks - 2005 Special issue: IJCNN 2005
Simple model of spiking neurons
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Dynamically Reconfigurable Silicon Array of Spiking Neurons With Conductance-Based Synapses
IEEE Transactions on Neural Networks
Stochastic Resonance in Continuous and Spiking Neuron Models With Levy Noise
IEEE Transactions on Neural Networks
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This paper studies dynamics of a simple bifurcating neuron to which spike-train input is applied a refractory threshold. The neuron can exhibit rich periodic orbits that is super-stable for initial state and has very fast transient. The periodic orbits are characterized by the rotation number that relates to rate coding of the spike-train. The dynamics can be simplified into the 1-D map of spiking phase. The phase map is piecewise linear and basic bifurcation phenomena can be clarified theoretically.