This paper studies a pulse-coupled network consisting of simple chaotic spiking oscillators
(CSOs). If a unit oscillator and its neighbor (s) have (almost) the same parameter values …

This brief presents a simple artificial spiking neuron and proposes its application to an A/D
converter. Depending on the initial state, which is an analog input, the neuron can generate …

A digital spiking neuron is a wired system of shift registers and can generate various spike-
trains by adjusting the wiring pattern. In this paper we analyze the basic relations between …

Numerical methods for initial-value problems based on finite-differencing of differential
equations (FDM) are not well suited for the simulation of an integrate-and-fire neuron …

We present a novel digital spiking neuron that can generate various periodic spike trains
depending on initial states. The spike trains can be symbolized by digital codes based on …

A novel chaotic spiking neuron is presented and its nonlinear dynamics and encoding
functions are analyzed. A set of paralleled N neurons accepts a common analog input and …

This paper presents a spiking neuron circuit with a triangular base signal. The circuit can
output rich pulse-trains and the dynamics can be analyzed using a piecewise linear one …

We present a pulse-coupled network (PCN) of spiking oscillators (SOCs) which can be
implemented as a simple electrical circuit. The SOC has a periodic reset level that can …

This paper studies a simple nonautonomous circuit consisting of an RLC resonator, a
dependent switch and a periodic pulse-train input. The circuit can exhibit chaotic behavior if …

In this paper, a new model seeking to emulate the way the visual cortex processes
information and interacts with subcortical areas to produce higher level brain functions is …