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Autoreservoir computing for multistep ahead prediction based on the spatiotemporal information transformation

Nature communications, 2020-09, Vol.11 (1), p.4568-4568, Article 4568

2020

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Traffic signal optimization on a square lattice with quantum annealing

Scientific reports, 2021-02, Vol.11 (1), p.3303-3303, Article 3303

2021

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Personalized characterization of diseases using sample-specific networks

Nucleic acids research, 2016-12, Vol.44 (22), p.e164-e164

2016

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Early Diagnosis of Complex Diseases by Molecular Biomarkers, Network Biomarkers, and Dynamical Network Biomarkers

Medicinal research reviews, 2014-05, Vol.34 (3), p.455-478

2014

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A Hierarchical Multi-oscillator Network Orchestrates the Arabidopsis Circadian System

Cell, 2015-09, Vol.163 (1), p.148-159

2015

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Partial cross mapping eliminates indirect causal influences

Nature communications, 2020-05, Vol.11 (1), p.2632-2632, Article 2632

2020

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Dynamical network biomarkers: Theory and applications

Gene, 2022-01, Vol.808, p.145997-145997, Article 145997

2022

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A coherent Ising machine for 2000-node optimization problems

Science (American Association for the Advancement of Science), 2016-11, Vol.354 (6312), p.603-606

2016

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Detecting early-warning signals for sudden deterioration of complex diseases by dynamical network biomarkers

Scientific reports, 2012-03, Vol.2 (1), p.342-342, Article 342

2012

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Photoplethysmogram at green light: Where does chaos arise from?

Chaos, solitons and fractals, 2018-11, Vol.116, p.157-165

2018

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Improving time series prediction of solar irradiance after sunrise: Comparison among three methods for time series prediction

Solar energy, 2017-06, Vol.149, p.294-301

2017

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Collective and synchronous dynamics of photonic spiking neurons

Nature communications, 2021-04, Vol.12 (1), p.2325-2325, Article 2325

2021

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Publisher’s Note: “Mean-field analysis of Stuart–Landau oscillator networks with symmetric coupling and dynamical noise” [Chaos 32, 063114 (2022)]

Chaos (Woodbury, N.Y.), 2022-08, Vol.32 (8)

2022

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Acetylcholine-mediated top-down attention improves the response to bottom-up inputs by deformation of the attractor landscape

PloS one, 2019-10, Vol.14 (10), p.e0223592-e0223592

2019

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Mean-field analysis of Stuart–Landau oscillator networks with symmetric coupling and dynamical noise

Chaos (Woodbury, N.Y.), 2022-06, Vol.32 (6)

2022

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Model-size reduction for reservoir computing by concatenating internal states through time

Scientific reports, 2020-12, Vol.10 (1), p.21794-21794, Article 21794

2020

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Non-Gaussian power grid frequency fluctuations characterized by Lévy-stable laws and superstatistics

Nature energy, 2018-02, Vol.3 (2), p.119-126

2018

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Sparse-firing regularization methods for spiking neural networks with time-to-first-spike coding

Scientific reports, 2023-12, Vol.13 (1), p.22897-22897, Article 22897

2023

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Entropic herding

Statistics and computing, 2023-02, Vol.33 (1), Article 31

2023

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Randomly distributed embedding making short-term high-dimensional data predictable

Proceedings of the National Academy of Sciences - PNAS, 2018-10, Vol.115 (43), p.E9994-E10002

2018

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Deep Learning for Nonlinear Time Series: Examples for Inferring Slow Driving Forces

International journal of bifurcation and chaos in applied sciences and engineering, 2020-12, Vol.30 (15), p.2050226

2020

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Echolocating bats use future-target information for optimal foraging

Proceedings of the National Academy of Sciences - PNAS, 2016-04, Vol.113 (17), p.4848-4852

2016

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Forecasting large aftershocks within one day after the main shock

Scientific reports, 2013-07, Vol.3 (1), p.2218-2218, Article 2218

2013

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Anticipating regime shifts by mixing early warning signals from different nodes

Nature communications, 2024-02, Vol.15 (1), p.1086-1086, Article 1086

2024

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Forecasting high-dimensional dynamics exploiting suboptimal embeddings

Scientific reports, 2020-01, Vol.10 (1), p.664-664, Article 664

2020

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Autoreservoir computing for multistep ahead prediction based on the spatiotemporal information transformation

Traffic signal optimization on a square lattice with quantum annealing

Personalized characterization of diseases using sample-specific networks

Early Diagnosis of Complex Diseases by Molecular Biomarkers, Network Biomarkers, and Dynamical Network Biomarkers

A Hierarchical Multi-oscillator Network Orchestrates the Arabidopsis Circadian System

Partial cross mapping eliminates indirect causal influences

Dynamical network biomarkers: Theory and applications

A coherent Ising machine for 2000-node optimization problems

Detecting early-warning signals for sudden deterioration of complex diseases by dynamical network biomarkers

Photoplethysmogram at green light: Where does chaos arise from?

Improving time series prediction of solar irradiance after sunrise: Comparison among three methods for time series prediction

Collective and synchronous dynamics of photonic spiking neurons

Publisher’s Note: “Mean-field analysis of Stuart–Landau oscillator networks with symmetric coupling and dynamical noise” [Chaos 32, 063114 (2022)]

Acetylcholine-mediated top-down attention improves the response to bottom-up inputs by deformation of the attractor landscape

Mean-field analysis of Stuart–Landau oscillator networks with symmetric coupling and dynamical noise

Model-size reduction for reservoir computing by concatenating internal states through time

Non-Gaussian power grid frequency fluctuations characterized by Lévy-stable laws and superstatistics

Sparse-firing regularization methods for spiking neural networks with time-to-first-spike coding

Entropic herding

Randomly distributed embedding making short-term high-dimensional data predictable

Deep Learning for Nonlinear Time Series: Examples for Inferring Slow Driving Forces

Echolocating bats use future-target information for optimal foraging

Forecasting large aftershocks within one day after the main shock

Anticipating regime shifts by mixing early warning signals from different nodes

Forecasting high-dimensional dynamics exploiting suboptimal embeddings

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