Dynamic parallelism for synaptic updating in GPU-accelerated spiking neural network simulations

Graphical processing units (GPUs) can significantly accelerate spiking neural network (SNN) simulations by exploiting parallelism for independent computations. Both the changes in membrane potential at each time-step, and checking for spiking threshold crossings for each neuron, can be calculated in...

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Detalles Bibliográficos
Autores principales: Kasap, Bahadir, van Opstal, A. John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6147227/
https://www.ncbi.nlm.nih.gov/pubmed/30245550
http://dx.doi.org/10.1016/j.neucom.2018.04.007

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6147227/
https://www.ncbi.nlm.nih.gov/pubmed/30245550
http://dx.doi.org/10.1016/j.neucom.2018.04.007

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