Combination of Organic‐Based Reservoir Computing and Spiking Neuromorphic Systems for a Robust and Efficient Pattern Classification

Nowadays, neuromorphic systems based on memristors are considered promising approaches to the hardware realization of artificial intelligence systems with efficient information processing. However, a major bottleneck in the physical implementation of these systems is the strong dependence of their p...

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Autori principali:	Anna N. Matsukatova, Nikita V. Prudnikov, Vsevolod A. Kulagin, Silvia Battistoni, Anton A. Minnekhanov, Andrey D. Trofimov, Aleksandr A. Nesmelov, Sergey A. Zavyalov, Yulia N. Malakhova, Matteo Parmeggiani, Alberto Ballesio, Simone Luigi Marasso, Sergey N. Chvalun, Vyacheslav A. Demin, Andrey V. Emelyanov, Victor Erokhin
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Wiley 2023-06-01
Serie:	Advanced Intelligent Systems
Soggetti:	memristors parylene polyaniline reservoir computing spiking neuromorphic systems
Accesso online:	https://doi.org/10.1002/aisy.202200407
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