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Unsupervised Learning by Spike Timing Dependent Plasticity in Phase Change Memory (PCM) Synapses
We present a novel one-transistor/one-resistor (1T1R) synapse for neuromorphic networks, based on phase change memory (PCM) technology. The synapse is capable of spike-timing dependent plasticity (STDP), where gradual potentiation relies on set transition, namely crystallization, in the PCM, while d...
Autores principales: | Ambrogio, Stefano, Ciocchini, Nicola, Laudato, Mario, Milo, Valerio, Pirovano, Agostino, Fantini, Paolo, Ielmini, Daniele |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4781832/ https://www.ncbi.nlm.nih.gov/pubmed/27013934 http://dx.doi.org/10.3389/fnins.2016.00056 |
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Publisher Correction: Memristive neural network for on-line learning and tracking with brain-inspired spike timing dependent plasticity
por: Pedretti, G., et al.
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