Synchronization properties of pulse-coupled resonate-and-fire neuron circuits and their application

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Synchronization Properties of Pulse-Coupled Resonate-and-Fire Neuron Circuits and Their Application

Introduction: Recent advances in neuroscience suggest that spiking neurons in cortical area are classified into two categories: integrators and resonators [1]. These neurons are different in the sensitivity to the timing of stimulus, and therefore show different synchronization properties in pulse-coupled systems. It is interested that the distribution of such neurons are layer-specific and dep...

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Burst Synchronization in Two Pulse-Coupled Resonate-and-Fire Neuron Circuits

The present paper addresses burst synchronization in out of phase observed in two pulse-coupled resonate-and-fire neuron (RFN) circuits. The RFN circuit is a silicon spiking neuron that has second-order membrane dynamics and exhibits fast subthreshold oscillation of membrane potential. Due to such dynamics, the behavior of the RFN circuit is sensitive to the timing of stimuli. We investigated t...

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Pulse-coupled resonate-and-fire models.

We analyze two pulse-coupled resonate-and-fire neurons. Numerical simulation reveals that an antiphase state is an attractor of this model. We can analytically explain the stability of antiphase states by means of a return map of firing times, which we propose in this paper. The resultant stability condition turns out to be quite simple. The phase diagram based on our theory shows that there ar...

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Analog Vlsi Implementation of Resonate-and-fire Neuron

We propose an analog integrated circuit that implements a resonate-and-fire neuron (RFN) model based on the Lotka-Volterra (LV) system. The RFN model is a spiking neuron model that has second-order membrane dynamics, and thus exhibits fast damped subthreshold oscillation, resulting in the coincidence detection, frequency preference, and post-inhibitory rebound. The RFN circuit has been derived ...

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ژورنال

عنوان ژورنال: International Congress Series

سال: 2007

ISSN: 0531-5131

DOI: 10.1016/j.ics.2006.12.020