The Concept of Metal-Insulator-Metal Nanostructures as Adaptive Neural Networks
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Published:
Jun 30, 2017
Issue:
Vol. 3 No. 1 (2017)
Keywords:
Nanotechnology, Computer Systems, Information Technology, Data Processing
Main Article Content
Abstract
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.
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