Performance Comparison of the Digital Neuromorphic Hardware SpiNNaker and the Neural Network Simulation Software NEST for a Full-Scale Cortical Microcircuit Model

The digital neuromorphic hardware SpiNNaker has been developed with the aim of enabling large-scale neural network simulations in real time and with low power consumption. Real-time performance is achieved with 1 ms integration time steps, and thus applies to neural networks for which faster time sc...

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Detalles Bibliográficos
Autores principales: van Albada, Sacha J., Rowley, Andrew G., Senk, Johanna, Hopkins, Michael, Schmidt, Maximilian, Stokes, Alan B., Lester, David R., Diesmann, Markus, Furber, Steve B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5974216/
https://www.ncbi.nlm.nih.gov/pubmed/29875620
http://dx.doi.org/10.3389/fnins.2018.00291

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5974216/
https://www.ncbi.nlm.nih.gov/pubmed/29875620
http://dx.doi.org/10.3389/fnins.2018.00291

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