Skeleton-supported stochastic networks of organic memristive devices: Adaptations and learning

Autor: Svetlana Erokhina, Vladimir Sorokin, Victor Erokhin
Jazyk: angličtina
Rok vydání: 2015
Předmět:
Zdroj: AIP Advances, Vol 5, Iss 2, Pp 027129-027129-6 (2015)
Druh dokumentu: article
ISSN: 2158-3226
DOI: 10.1063/1.4913374
Popis: Stochastic networks of memristive devices were fabricated using a sponge as a skeleton material. Cyclic voltage-current characteristics, measured on the network, revealed properties, similar to the organic memristive device with deterministic architecture. Application of the external training resulted in the adaptation of the network electrical properties. The system revealed an improved stability with respect to the networks, composed from polymer fibers.
Databáze: Directory of Open Access Journals