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

• Type: Article in International Scientific Journal
• Date: 2017

Authors

Dias, C (Author) Other; Guerra, LM (Author) Other; Paulo Aguiar (Author) FMUP; ventura, j. (Author) FCUP

Journal

Title: U.Porto Journal of Engineering

Vol. 3 No. 1

Pages: 1-10

Publisher: Universidade do Porto. Faculdade de Engenharia

Indexing

Scopus - 0 Citations

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific