An electronic circuit device, inspired on the FitzHughNagumo model of neuronal excitability, was constructed and shown to operate with characteristics compatible with those of biological sensory neurons. The nonlinear dynamical model of the electronics quantitatively reproduces the experimental observations on the circuit, including the Hopf bifurcation at the onset of tonic spiking. Moreover, we have implemented an analog noise generator as a source to study the variability of the spike trains. When the circuit is in the excitable regime, coherence resonance is observed. At sufficiently low noise intensity the spike trains have Poisson statistics, as in many biological neurons. The transfer function of the stochastic spike trains has a dyn...
Abstract. We describe an improved spiking silicon neuron (SN) [6] that approximates the dynamics of ...
grantor: University of TorontoAnimals are impressive biological machines, and their abilit...
PACS. 87.22Jb -Muscle contraction, nerve conduction, synaptic transmission, memorization, and other ...
In this work, we present an original implementation of a circuit to perform the analog simulation of...
International audienceUsing an analog electrical FitzHugh–Nagumo neuron including complex threshold ...
The most biologically-inspired artificial neurons are those of the third generation, and are termed ...
<p>(A) Excitable electronic neuron circuit. are the supply voltages, and are the dynamic variable...
The most biologically-inspired artificial neurons are those of the third generation, and are termed ...
International audienceNeurons in the nervous system are submitted to distinct sources of noise, such...
Input noise, defined as the root mean square of the fluctuations in the input, typically limits the ...
A proof-of-concept relaxation oscillator-based leaky integrate-and-fire (ROLIF) neuron circuit is re...
We describe a low cost design of an electronic neuron, which is designed to represent the dynamical ...
An electronic circuit consisting of coupled nonlinear oscillators⁴'⁵ simulates the spatiotemporal pr...
Abstract: We propose a nonlinear electronic circuit simulating the neuronal activity in a noisy envi...
We report on stochastic effects in a new class of semiconductor structures that accurately imitate t...
Abstract. We describe an improved spiking silicon neuron (SN) [6] that approximates the dynamics of ...
grantor: University of TorontoAnimals are impressive biological machines, and their abilit...
PACS. 87.22Jb -Muscle contraction, nerve conduction, synaptic transmission, memorization, and other ...
In this work, we present an original implementation of a circuit to perform the analog simulation of...
International audienceUsing an analog electrical FitzHugh–Nagumo neuron including complex threshold ...
The most biologically-inspired artificial neurons are those of the third generation, and are termed ...
<p>(A) Excitable electronic neuron circuit. are the supply voltages, and are the dynamic variable...
The most biologically-inspired artificial neurons are those of the third generation, and are termed ...
International audienceNeurons in the nervous system are submitted to distinct sources of noise, such...
Input noise, defined as the root mean square of the fluctuations in the input, typically limits the ...
A proof-of-concept relaxation oscillator-based leaky integrate-and-fire (ROLIF) neuron circuit is re...
We describe a low cost design of an electronic neuron, which is designed to represent the dynamical ...
An electronic circuit consisting of coupled nonlinear oscillators⁴'⁵ simulates the spatiotemporal pr...
Abstract: We propose a nonlinear electronic circuit simulating the neuronal activity in a noisy envi...
We report on stochastic effects in a new class of semiconductor structures that accurately imitate t...
Abstract. We describe an improved spiking silicon neuron (SN) [6] that approximates the dynamics of ...
grantor: University of TorontoAnimals are impressive biological machines, and their abilit...
PACS. 87.22Jb -Muscle contraction, nerve conduction, synaptic transmission, memorization, and other ...