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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2014
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4267210/ https://www.ncbi.nlm.nih.gov/pubmed/25565943 http://dx.doi.org/10.3389/fnins.2014.00412 |