Efficient simulation of large-scale Spiking Neural Networks using CUDA graphics processors

Neural network simulators that take into account the spiking behavior of neurons are useful for studying brain mechanisms and for engineering applications. Spiking neural network (SNN) simulators have been traditionally simulated on large-scale clusters, super-computers, or on dedicated hardware arc...

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Bibliographische Detailangaben

Hauptverfasser:	Nageswaran, J.M., Dutt, N., Krichmar, J.L., Nicolau, A., Veidenbaum, A.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Analytical models Brain modeling Central Processing Unit Computational modeling Computer architecture CUDA Data Parallelism Graphics Graphics Processor Izhikevich Spiking Neuron Large-scale systems Neural network hardware Neural networks Neurons STDP
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