Add to ORKGIn the preceding chapter a number of mathematical models for spiking neurons were introduced. Spiking neurons differ in essential aspects from the familiar computational units of common neural network models, such as McCulloch-Pitts neurons or sigmoidal gates. Therefore the questio
In this paper, a new simple hardware-oriented spiking neuron model is proposed. It is mainly based o...
Spiking neuron models simulate neuronal activities and allow us to analyze and reproduce the informa...
We review different aspects of the simulation of spiking neural networks. We start by reviewing the ...
Abstract--The computational power of formal models for networks of spiking neurons is compared with ...
This chapter reviews recent developments in the area of spiking neural networks (SNN) and summarizes...
The brain has always been known to be a powerful computational tool as it possesses problem solving ...
The features of the main models of spiking neurons are discussed in this review. We focus on the dyn...
International audienceSpiking Neuron Networks (SNNs) are often referred to as the 3rd generation ofn...
2 Abstract We investigate the computational power of a formal model for networks of spiking neurons....
Spiking Neuron Networks (SNNs) are often referred to as the third generation of neural networks. Hig...
The most biologically-inspired artificial neurons are those of the third generation, and are termed ...
Spiking neuron network (SNN) attaches much attention to researchers in neuromorphic engineering and ...
Neurons are complex cells that require a lot of time and resources to model completely. In spiking n...
Artificial neural networks (ANNs) have been developed as adaptable, robust function approximators fo...
The past decade has witnessed the great success of deep neural networks in various domains. However,...
In this paper, a new simple hardware-oriented spiking neuron model is proposed. It is mainly based o...
Spiking neuron models simulate neuronal activities and allow us to analyze and reproduce the informa...
We review different aspects of the simulation of spiking neural networks. We start by reviewing the ...
Abstract--The computational power of formal models for networks of spiking neurons is compared with ...
This chapter reviews recent developments in the area of spiking neural networks (SNN) and summarizes...
The brain has always been known to be a powerful computational tool as it possesses problem solving ...
The features of the main models of spiking neurons are discussed in this review. We focus on the dyn...
International audienceSpiking Neuron Networks (SNNs) are often referred to as the 3rd generation ofn...
2 Abstract We investigate the computational power of a formal model for networks of spiking neurons....
Spiking Neuron Networks (SNNs) are often referred to as the third generation of neural networks. Hig...
The most biologically-inspired artificial neurons are those of the third generation, and are termed ...
Spiking neuron network (SNN) attaches much attention to researchers in neuromorphic engineering and ...
Neurons are complex cells that require a lot of time and resources to model completely. In spiking n...
Artificial neural networks (ANNs) have been developed as adaptable, robust function approximators fo...
The past decade has witnessed the great success of deep neural networks in various domains. However,...
In this paper, a new simple hardware-oriented spiking neuron model is proposed. It is mainly based o...
Spiking neuron models simulate neuronal activities and allow us to analyze and reproduce the informa...
We review different aspects of the simulation of spiking neural networks. We start by reviewing the ...