Synchrony and desynchrony in integrate-and-fire oscillators
Neural Computation
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
IEEE Transactions on Evolutionary Computation
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
Fundamental Analysis of a Digital Spiking Neuron for Its Spike-Based Coding
Neural Information Processing
Basic Characteristics and Learning Potential of a Digital Spiking Neuron
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
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This paper studies pulse-coupled network of digital spiking neurons and its basic dynamics. The neuron is constructed by coupling two shift registers and has a variety of spike-trains which correspond to digital codes through a inter-spike interval (ISI) modulation. The pulsecoupled network has master-slave configuration. All the spike-trains of neurons in the master side are multiplexed additionally and are transmitted to the slave side via single line. Neurons in the slave side are connected by dynamic winner-take-all function. As parameters are selected suitably, the slave can realize demultiplexing and master-slave synchronization is achieved. VHDL simulation is also discussed for FPGA implementation and this digital network is compared with an analog network.