Recent advances in physical reservoir computing: A review

• Published in: Neural networks Vol. 115; pp. 100 - 123
• Main Authors: Tanaka, Gouhei, Yamane, Toshiyuki, Héroux, Jean Benoit, Nakane, Ryosho, Kanazawa, Naoki, Takeda, Seiji, Numata, Hidetoshi, Nakano, Daiju, Hirose, Akira
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01.07.2019
• Subjects: Machine learning; Neural networks; Neuromorphic device; Nonlinear dynamical systems; Reservoir computing; Nonlinear dynamical systems; Neural networks; Reservoir computing; Neuromorphic device; Machine learning

Reservoir computing is a computational framework suited for temporal/sequential data processing. It is derived from several recurrent neural network models, including echo state networks and liquid state machines. A reservoir computing system consists of a reservoir for mapping inputs into a high-di...