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20112023
most citedPhysical reservoir computing -- An introductory perspective

420 citations · 1.5k across the 35 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

q-bio.NC2022★ 4 cited

Self-Organized Criticality Explains Readiness Potential

Katsushi Kagaya, Tomoyuki Kubota, Kohei Nakajima

Readiness potential is a widely observed brain activity in several species including crayfish before the spontaneous behavioral initiation. However, it is poorly understood how thi…

quant-ph2022

Quantum-Classical Hybrid Information Processing via a Single Quantum System

Quoc Hoan Tran, Sanjib Ghosh, Kohei Nakajima

Current technologies in quantum-based communications bring a new integration of quantum data with classical data for hybrid processing. However, the frameworks of these technologie…

quant-ph2022

Quantum Noise-Induced Reservoir Computing

Tomoyuki Kubota, Yudai Suzuki, Shumpei Kobayashi +3

Quantum computing has been moving from a theoretical phase to practical one, presenting daunting challenges in implementing physical qubits, which are subjected to noises from the…

cs.LG2022★ 7 cited

Composite FORCE learning of chaotic echo state networks for time-series prediction

Yansong Li, Kai Hu, Kohei Nakajima +1

Echo state network (ESN), a kind of recurrent neural networks, consists of a fixed reservoir in which neurons are connected randomly and recursively and obtains the desired output…

cs.NE2022★ 4 cited

Physical Deep Learning with Biologically Plausible Training Method

Mitsumasa Nakajima, Katsuma Inoue, Kenji Tanaka +3

The ever-growing demand for further advances in artificial intelligence motivated research on unconventional computation based on analog physical devices. While such computation de…