Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Structural Plasticity on the SpiNNaker Many-Core Neuromorphic System
por: Bogdan, Petruț A., et al.
Publicado: (2018) -
Neuromodulated Synaptic Plasticity on the SpiNNaker Neuromorphic System
por: Mikaitis, Mantas, et al.
Publicado: (2018) -
SpiNNTools: The Execution Engine for the SpiNNaker Platform
por: Rowley, Andrew G. D., et al.
Publicado: (2019) -
SpiNNaker2 - Neuromorphic computing
por: Mayr, Christian
Publicado: (2022) -
Synapse-Centric Mapping of Cortical Models to the SpiNNaker Neuromorphic Architecture
por: Knight, James C., et al.
Publicado: (2016)