The concept of metal-insulator-metal nanostructures as adaptive neural networks

• Tipo: Artigo em Revista Científica Internacional
• Data: 2017

Autores

Dias, C (Autor) Outra; Guerra, LM (Autor) Outra; Paulo Aguiar (Autor) FMUP; ventura, j. (Autor) FCUP

Revista

Título: U.Porto Journal of Engineering

Vol. 3 Nº 1

Páginas: 1-10

Editora: Universidade do Porto. Faculdade de Engenharia

Indexação

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-00T-464

DOI: 10.24840/2183-6493_003.001_0001

Abstract (EN): Present computer processing capabilities are becoming a restriction to meet modern technological needs. Therefore, approaches beyond the von Neumann computational architecture are imperative and the brain operation and structure are truly attractive models. Memristors are characterized by a nonlinear relationship between current history and voltage and were shown to present properties resembling those of biological synapses. Here, the use of metal-insulator-metal-based memristive devices in neural networks capable of simulating the learning and adaptation features present in mammal brains is discussed.

Idioma: Inglês

Tipo (Avaliação Docente): Científica