Echo state network activation function based on bistable stochastic resonance

Z Liao, Z Wang, H Yamahara, H Tabata - Chaos, Solitons & Fractals, 2021 - Elsevier
Stochastic resonance (SR) is a phenomenon wherein an information-carrying signal is
enhanced via noise in a nonlinear system. This phenomenon enables living beings to adapt …

Microwave-modulated spintronic stochastic neuron based on a magnetic tunnel junction

Y Luo, H Tu, L Zhang, S Li, R Li, J Cai, B Zhang… - Physical Review …, 2023 - APS
The stochastic switching behavior of magnetic tunnel junctions (MTJs) has been proven to
be suitable for low-power neuromorphic computing. In this work, we demonstrate that the …

Low-power-consumption physical reservoir computing model based on overdamped bistable stochastic resonance system

Z Liao, Z Wang, H Yamahara, H Tabata - Neurocomputing, 2022 - Elsevier
The physical implementation of reservoir computing (RC), a brain-inspired computing
framework, is attracting increasing attention in various research fields owing to its capability …

Boosting learning ability of overdamped bistable stochastic resonance system based physical reservoir computing model by time-delayed feedback

Z Shi, Z Liao, H Tabata - Chaos, Solitons & Fractals, 2022 - Elsevier
Physical reservoir computing (RC), which can be implemented by various physical systems,
is a low-cost neuromorphic framework with a fast learning capability. In the previous studies …

Parameter estimation of fractional-order chaotic power system based on lens imaging learning strategy state transition algorithm

C Ai, S He, X Fan - IEEE Access, 2023 - ieeexplore.ieee.org
Parameter identification of fractional-order chaotic power systems is a multidimensional
optimization problem that plays a decisive role in the synchronization and control of …

Quantum Analog Annealing of Gain‐Dissipative Ising Machine Driven by Colored Gaussian Noise

Z Liao, K Ma, MS Sarker, S Tang… - Advanced Theory …, 2022 - Wiley Online Library
Abstract Gain‐dissipative Ising machines (GIMs) are a type of quantum analog equipment
that can rapidly determine the optimal solution for combinatorial optimization problems …

Short-term memory capacity analysis of Lu3Fe4Co0.5Si0.5O12-based spin cluster glass towards reservoir computing

Z Liao, H Yamahara, K Terao, K Ma, M Seki… - Scientific Reports, 2023 - nature.com
Reservoir computing is a brain heuristic computing paradigm that can complete training at a
high speed. The learning performance of a reservoir computing system relies on its …

Enhanced synchronization due to intermittent noise

E Shajan, MP Asir, S Dixit, J Kurths… - New Journal of …, 2021 - iopscience.iop.org
We propose a novel scheme to regulate noise infusion into the chaotic trajectories of
uncoupled complex systems to achieve complete synchronization. So far the noise-induced …

Coherent detection stochastic resonance assisted biomagnetometer for measuring magnetocardiography at room temperature

Z Liao, S Jin, A Kuwahata, M Sekino… - Applied Physics …, 2021 - iopscience.iop.org
A method of magnetocardiography (MCG) measurement using an overdamped bistable
model based stochastic resonance (SR) technique for advancing biomagnetic sensors is …

Nonbistable rectified linear unit-based gain-dissipative Ising spin network with stochastic resonance effect

Z Liao, K Ma, S Tang, H Yamahara, M Seki… - Journal of Computational …, 2022 - Elsevier
The gain-dissipative Ising machine (GIM), comprising a nonlinear transfer function and spin
interaction feedback, is one of the most promising quantum analog annealers. However …