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A compound memristive synapse model for statistical learning through STDP in spiking neural networks

Memristors have recently emerged as promising circuit elements to mimic the function of biological synapses in neuromorphic computing. The fabrication of reliable nanoscale memristive synapses, that feature continuous conductance changes based on the timing of pre- and postsynaptic spikes, has howev...

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Détails bibliographiques
Publié dans:Front Neurosci
Auteurs principaux: Bill, Johannes, Legenstein, Robert
Format: Artigo
Langue:Inglês
Publié: Frontiers Media S.A. 2014
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC4267210/
https://ncbi.nlm.nih.gov/pubmed/25565943
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2014.00412
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