Zobrazeno 1 - 10
of 23
pro vyhledávání: '"digital neuromorphic hardware"'
Autor:
James Courtney Knight, Steve Furber
Publikováno v:
Frontiers in Neuroscience, Vol 10 (2016)
While the adult human brain has approximately 8.8x10^10 neurons, this number is dwarfed by its 1x10^15 synapses. From the point of view of neuromorphic engineering and neural simulation in general this makes the simulation of these synapses a particu
Externí odkaz:
https://doaj.org/article/1f48e247db0e4f479a0b019a69c77acb
Autor:
James Courtney Knight, Philip Joseph Tully, Bernhard A Kaplan, Anders eLansner, Steve B Furber
Publikováno v:
Frontiers in Neuroanatomy, Vol 10 (2016)
SpiNNaker is a digital, neuromorphic architecture designed for simulating large-scale spiking neural networks at speeds close to biological real-time. Rather than using bespoke analog or digital hardware, the basic computational unit of a SpiNNaker s
Externí odkaz:
https://doaj.org/article/ad6f0a9d42d045e09917218d1aa5460c
Autor:
Bernhard eVogginger, René eSchüffny, Anders eLansner, Love eCederström, Johannes ePartzsch, Sebastian eHöppner
Publikováno v:
Frontiers in Neuroscience, Vol 9 (2015)
The implementation of synaptic plasticity in neural simulation or neuromorphic hardware is usually very resource-intensive, often requiring a compromise between efficiency and flexibility. A versatile, but computationally-expensive plasticity mechani
Externí odkaz:
https://doaj.org/article/abc84418ac5a4a679e30192727fe679e
Publikováno v:
Frontiers in Neuroscience, Vol 14 (2020)
Frontiers in Neuroscience
Frontiers in Neuroscience
Simulation of large scale biologically plausible spiking neural networks, e.g., Bayesian Confidence Propagation Neural Network (BCPNN), usually requires high-performance supercomputers with dedicated accelerators, such as GPUs, FPGAs, or even Applica
Akademický článek
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Autor:
Knight, James Courtney, Tully, Philip Joseph, Kaplan, Bernhard A, Lansner, Anders, Furber, Stephen
Publikováno v:
Knight, J C, Tully, P J, Kaplan, B A, Lansner, A & Furber, S 2016, ' Large-scale simulations of plastic neural networks on neuromorphic hardware ', Frontiers in Neuroanatomy, vol. 10, no. 37, 37 . https://doi.org/10.3389/fnana.2016.00037
SpiNNaker is a digital, neuromorphic architecture designed for simulating large-scale spiking neural networks at speeds close to biological real-time. Rather than using bespoke analog or digital hardware, the basic computational unit of a SpiNNaker s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3818::ae6a48913a9a8bec1fda54e4661f9b22
https://pure.manchester.ac.uk/ws/files/160434672/fnana_10_00037.pdf
https://pure.manchester.ac.uk/ws/files/160434672/fnana_10_00037.pdf
Autor:
Sebastian Hoppner, Love Cederstrom, Johannes Partzsch, Bernhard Vogginger, Rene Schuffny, Anders Lansner
Publikováno v:
Frontiers in Neuroscience
Frontiers in Neuroscience, Vol 9 (2015)
Frontiers in Neuroscience, Vol 9 (2015)
The implementation of synaptic plasticity in neural simulation or neuromorphic hardware is usually very resource-intensive, often requiring a compromise between efficiency and flexibility. A versatile, but computationally-expensive plasticity mechani
Akademický článek
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Akademický článek
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Autor:
Knight, James C, Furber, Steve B
Publikováno v:
Frontiers in Neuroscience. 10
While the adult human brain has approximately 8.8 × 1010 neurons, this number is dwarfed by its 1 × 1015 synapses. From the point of view of neuromorphic engineering and neural simulation in general this makes the simulation of these synapses a par