Synchrony and desynchrony in integrate-and-fire oscillators
Neural Computation
The bifurcating neuron network 2: an analog associative memory
Neural Networks
2005 Special Issue: Rich dynamics of pulse-coupled spiking neurons with a triangular base signal
Neural Networks - 2005 Special issue: IJCNN 2005
IEEE Transactions on Neural Networks
Synchronization phenomena in pulse-coupled networks driven by spike-train inputs
IEEE Transactions on Neural Networks
Grouping synchronization in a pulse-coupled network of chaotic spiking oscillators
IEEE Transactions on Neural Networks
A novel chaotic spiking neuron and its paralleled spike encoding function
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
A novel artificial model of spiral ganglion cell and its spike-based encoding function
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
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This paper studies encoding/decoding function of artificial spiking neurons. First, we investigate basic characteristics of spike-trains of the neurons and fix parameter value that can minimize variation of spike-train length for initial value. Second we consider analog-to-digital encoding based upon spike-interval modulation that is suitable for simple and stable signal detection. Third we present a digital-to-analog decoder in which digital input is applied to switch the base signal of the spiking neuron. The system dynamics can be simplified into simple switched dynamical systems and precise analysis is possible. A simple circuit model is also presented.