Results 251 to 260 of about 75,067 (283)
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To spike or not to spike: A probabilistic spiking neuron model

Neural Networks, 2010
Spiking neural networks (SNN) are promising artificial neural network (ANN) models as they utilise information representation as trains of spikes, that adds new dimensions of time, frequency and phase to the structure and the functionality of ANN.
openaire   +2 more sources

Spiking Neurons Computing Platform

2005
A computing platform is described for simulating arbitrary networks of spiking neurons in real time. A hybrid computing scheme is adopted that uses both software and hardware components. We focus on conductance-based models for neurons that emulate the temporal dynamics of the synaptic integration process.
Eduardo Ros   +5 more
openaire   +1 more source

Neuronal Spike Trains

Science, 1968
M J, Wayner, Y, Oomura
openaire   +2 more sources

Coupled fractional spiking neurons

2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2016
We propose a fractional-order (FO) model of two symmetrically coupled Hodgkin-Huxley equations and study the patterns of the neurons' firing rates, for distinct values of the order of the fractional derivative, α, and the temperature, T. We find that, for positive values of the coupling, the neurons exhibit in-phase periodic solutions (neurons fire at ...
openaire   +2 more sources

A Photoelectric Spiking Neuron for Visual Depth Perception

Advanced Materials, 2022
Yongli He, Yi Shi, Changjin Wan
exaly  

A Review of Artificial Spiking Neuron Devices for Neural Processing and Sensing

Advanced Functional Materials, 2022
Joon-Kyu Han, Seong-Yun Yun, Ji-Man Yu
exaly  

An Artificial Tactile Neuron Enabling Spiking Representation of Stiffness and Disease Diagnosis

Advanced Materials, 2022
Kyuho Lee, Sun Mi Kim, Tae-Yeon Seong
exaly  

An organic artificial spiking neuron for in situ neuromorphic sensing and biointerfacing

Nature Electronics, 2022
Aristea Pavlou   +2 more
exaly  

[Spike tranfer in statistical neuron assemblies. II. Neuron--nonlinear spike source].

Biofizika, 1977
The mathematical model of the neuron function is known to rely on space summing of excitement. The spikes contribute to the inner state of the neuron the farther from cell soma the synapses are located. The difference between excitatory and inhibitory effect results in spike firing if only neural firing threshold is achieved.
openaire   +1 more source

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