Natsue Yoshimura

About Natsue Yoshimura

Natsue Yoshimura, With an exceptional h-index of 22 and a recent h-index of 19 (since 2020), a distinguished researcher at Tokyo Institute of Technology, specializes in the field of Brain-machine interface, Neural decoding, Brain imaging, Computational Neuroscience..

His recent articles reflect a diverse array of research interests and contributions to the field:

Sparse Bayesian Correntropy Learning for Robust Muscle Activity Reconstruction from Noisy Brain Recordings

Decline in Sensory Integration in Old Age: Evidence from a Virtual Reality Task, and Its Functional Brain Connectivity Correlates

Classification of pleasantness of wind by electroencephalography

Spatial feature optimization through a genetic algorithm in a sensory-association-based brain-machine interface

On detection of different finger movement by cortical current estimated from EEG and fMRI

Decoding Locomotion intention in Virtual Reality Using EEG

Accelerometer time series augmentation through externally driving a non-linear dynamical system

Information processing device and information processing method

Natsue Yoshimura Information

University

Position

___

Citations(all)

1626

Citations(since 2020)

977

Cited By

1000

hIndex(all)

22

hIndex(since 2020)

19

i10Index(all)

39

i10Index(since 2020)

31

Email

University Profile Page

Google Scholar

Natsue Yoshimura Skills & Research Interests

Brain-machine interface

Neural decoding

Brain imaging

Computational Neuroscience.

Top articles of Natsue Yoshimura

Title

Journal

Author(s)

Publication Date

Sparse Bayesian Correntropy Learning for Robust Muscle Activity Reconstruction from Noisy Brain Recordings

arXiv preprint arXiv:2404.15309

Yuanhao Li

Badong Chen

Natsue Yoshimura

Yasuharu Koike

Okito Yamashita

2024/4/1

Decline in Sensory Integration in Old Age: Evidence from a Virtual Reality Task, and Its Functional Brain Connectivity Correlates

Satoru Inagaki

Hirokazu Matsuura

Kazuki Sakurai

Ludovico Minati

Natsue Yoshimura

2024/4/1

Classification of pleasantness of wind by electroencephalography

Plos one

Yasuhisa Maruyama

Ryuto Nakamura

Shota Tsuji

Yingli Xuan

Kunio Mizutani

...

2024/2/27

Spatial feature optimization through a genetic algorithm in a sensory-association-based brain-machine interface

Hikaru Tsunekawa

Yasuhisa Maruyama

Laura Alejandra Martinez-Tejada

Kazutoshi Hatakeyama

Tomohiro Suda

...

2024/4/4

On detection of different finger movement by cortical current estimated from EEG and fMRI

IEICE Technical Report; IEICE Tech. Rep.

Masanori Takaichi

Simon Kojima

Natsue Yoshimura

Shin'ichiro Kanoh

2023/3/6

Decoding Locomotion intention in Virtual Reality Using EEG

Ying-Tung Cho

Natsue Yoshimura

Laura Alejandra Martinez-Tejada

2023/10/28

Accelerometer time series augmentation through externally driving a non-linear dynamical system

Chaos, Solitons & Fractals

Ludovico Minati

Chao Li

Jim Bartels

Parthojit Chakraborty

Zixuan Li

...

2023/3/1

Information processing device and information processing method

2022/12/20

Differential processing of intrinsic vs. extrinsic coordinates in wrist movement: connectivity and chronometry perspectives

Frontiers in Neuroinformatics

Laura Alejandra Martinez-Tejada

Yuji Imakura

Ying-Tung Cho

Ludovico Minati

Natsue Yoshimura

2023

Partial maximum correntropy regression for robust electrocorticography decoding

Frontiers in Neuroscience

Yuanhao Li

Badong Chen

Gang Wang

Natsue Yoshimura

Yasuharu Koike

2023

Classification of Parkinson’s disease from smartphone recording data using time-frequency analysis and convolutional neural network

Technology and Health Care

Denchai Worasawate

Warisara Asawaponwiput

Natsue Yoshimura

Apichart Intarapanich

Decho Surangsrirat

2023/1/1

Adaptive sparseness for correntropy-based robust regression via automatic relevance determination

arXiv preprint arXiv:2302.00082

Yuanhao Li

Badong Chen

Okito Yamashita

Natsue Yoshimura

Yasuharu Koike

2023/1/31

Temporal Electroencephalography Traits Dissociating Tactile Information and Cross-Modal Congruence Effects

Sensors

Yusuke Ozawa

Natsue Yoshimura

2023/12/21

Correntropy-based logistic regression with automatic relevance determination for robust sparse brain activity decoding

arXiv e-prints

Yuanhao Li

Badong Chen

Yuxi Shi

Natsue Yoshimura

Yasuharu Koike

2022/7

A haptic device-based reproduction system of active finger movement and its evaluation using sensory evoked potentials

Yusuke Ozawa

Natsue Yoshimura

Kazumasa Uehara

Kazuhiko Seki

2023/10/28

Electroencephalography Reflects User Satisfaction in Controlling Robot Hand through Electromyographic Signals

Sensors

Hyeonseok Kim

Makoto Miyakoshi

Yeongdae Kim

Sorawit Stapornchaisit

Natsue Yoshimura

...

2022/12/27

An fMRI-study of leading and following using rhythmic tapping

Social Neuroscience

Lykke Silfwerbrand

Yousuke Ogata

Natsue Yoshimura

Yasuharu Koike

Malin Gingnell

2022/11/2

Parkinson’s Disease Classification from Data Collected Using Smartphone: A Review of the Literature

Decho Surangsrirat

Warisara Asawaponwiput

Natsue Yoshimura

Apichart Intarapanich

Denchai Worasawate

2022/4/28

Journal of Current Scientific Research

Tomoya Hayashi

Natsue Yoshimura

2022

A channel-wise CNN Model with Transfer Learning for Forearm Motion Estimation using sEMG signal

自律分散システム・シンポジウム (CD-ROM)

Zixuan QIN

Sorawit STAPORNCHAISIT

Zixun HE

Natsue YOSHIMURA

Yasuharu KOIKE

2022

See List of Professors in Natsue Yoshimura University(Tokyo Institute of Technology)