Parallelization of Artificial Spiking Neural Networks on the CPU and GPU
Conventional artificial neural networks have traditionally faced inherent problems with efficient parallelization of neuron processing. Recent research has shown how artificial spiking neural networks can, with the introduction of biologically plausible synaptic conduction delays, be fully paralleli...
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| Format: | Others |
| Language: | English |
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Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap
2009
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9838 |