NeuroPack: An Algorithm-Level Python-Based Simulator for Memristor-Empowered Neuro-Inspired Computing

Emerging two-terminal nanoscale memory devices, known as memristors, have demonstrated great potential for implementing energy-efficient neuro-inspired computing architectures over the past decade. As a result, a wide range of technologies have been developed that, in turn, are described via distinc...

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Detalhes bibliográficos

Principais autores:	Jinqi Huang, Spyros Stathopoulos, Alexantrou Serb, Themis Prodromakis
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2022-04-01
coleção:	Frontiers in Nanotechnology
Assuntos:	memristor neuro-inspired computing neuromorphic computing neural networks online learning offline classification
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fnano.2022.851856/full
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