Add to ORKGAbstract We review different aspects of the simulation of spiking neural networks. We start by reviewing the different types of simulation strategies and algorithms that are currently implemented. We next review the precision of those simulation strategies, in particular in cases where plasticity depends on the exact timing of Action Editor: Barry J. Richmon
International audienceIn the present overview, our wish is to demystify some aspects of coding with ...
Spiking Neural Networks are a class of Artificial Neural Networks that closely mimic biological neur...
The brain has always been known to be a powerful computational tool as it possesses problem solving ...
Abstract We review different aspects of the simulation of spiking neural networks. We start by revie...
We review different aspects of the simulation of spiking neural networks. We start by reviewing the ...
We review different aspects of the simulation of spiking neural networks. We start by reviewing the ...
Spiking neural networks offer a biologically plausible account of fast neural systems. Interesting r...
The simulation of spiking neural networks (SNNs), both for neuro-biological and application based si...
International audienceSpiking Neuron Networks (SNNs) are often referred to as the 3rd generation ofn...
Introduction The motivation of digital simulation of artificial neural networks is as diverse as th...
Schäfer M, Schönauer T, Wolff C, Hartmann G, Klar H, Rückert U. Simulation of Spiking Neural Network...
Spiking Neuron Networks (SNNs) are often referred to as the third generation of neural networks. Hig...
To understand how the central nervous system performs computations using recurrent neuronal circuitr...
The aim of this research is to develop a simple and effective continuous-time Spiking Neural Network...
Contemporary modeling approaches to the dynamics of neural networks include two important classes of...
International audienceIn the present overview, our wish is to demystify some aspects of coding with ...
Spiking Neural Networks are a class of Artificial Neural Networks that closely mimic biological neur...
The brain has always been known to be a powerful computational tool as it possesses problem solving ...
Abstract We review different aspects of the simulation of spiking neural networks. We start by revie...
We review different aspects of the simulation of spiking neural networks. We start by reviewing the ...
We review different aspects of the simulation of spiking neural networks. We start by reviewing the ...
Spiking neural networks offer a biologically plausible account of fast neural systems. Interesting r...
The simulation of spiking neural networks (SNNs), both for neuro-biological and application based si...
International audienceSpiking Neuron Networks (SNNs) are often referred to as the 3rd generation ofn...
Introduction The motivation of digital simulation of artificial neural networks is as diverse as th...
Schäfer M, Schönauer T, Wolff C, Hartmann G, Klar H, Rückert U. Simulation of Spiking Neural Network...
Spiking Neuron Networks (SNNs) are often referred to as the third generation of neural networks. Hig...
To understand how the central nervous system performs computations using recurrent neuronal circuitr...
The aim of this research is to develop a simple and effective continuous-time Spiking Neural Network...
Contemporary modeling approaches to the dynamics of neural networks include two important classes of...
International audienceIn the present overview, our wish is to demystify some aspects of coding with ...
Spiking Neural Networks are a class of Artificial Neural Networks that closely mimic biological neur...
The brain has always been known to be a powerful computational tool as it possesses problem solving ...