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Implementation of a spike-based perceptron learning rule using TiO(2−x) memristors

Synaptic plasticity plays a crucial role in allowing neural networks to learn and adapt to various input environments. Neuromorphic systems need to implement plastic synapses to obtain basic “cognitive” capabilities such as learning. One promising and scalable approach for implementing neuromorphic...

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Detalles Bibliográficos
Autores principales: Mostafa, Hesham, Khiat, Ali, Serb, Alexander, Mayr, Christian G., Indiveri, Giacomo, Prodromakis, Themis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4591430/
https://www.ncbi.nlm.nih.gov/pubmed/26483629
http://dx.doi.org/10.3389/fnins.2015.00357