Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Jun-Ichiro Hirayama

Showing results (1-10 of 15) with videos related to

Pageof 2
Sort By:
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|June 5, 2025
Interpretable Supervised Muscle Network Decomposition by Multifactorial ANOVA-ICAJun-Ichiro Hirayama
Journal of Neuroengineering and Rehabilitation|May 2, 2025
Beat-aligned motor synergies and kinematic beat detection in street dance movementsKeli Shen, Jun-Ichiro Hirayama
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Kinematic Motor Synergy Analysis to Understand Lock Dance ChoreographiesKeli Shen, Jun-Ichiro Hirayama
Neural Computation|May 15, 2015
Unifying Blind Separation and Clustering for Resting-State EEG/MEG Functional Connectivity AnalysisJun-Ichiro Hirayama, Takeshi Ogawa, Aapo Hyvärinen
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Simultaneous blind separation and clustering of coactivated EEG/MEG sources for analyzing spontaneous brain activityJun-ichiro Hirayama, Takeshi Ogawa, Aapo Hyvärinen
Neuroimage|July 22, 2019
State-unspecific patterns of whole-brain functional connectivity from resting and multiple task states predict stable individual traitsYu Takagi, Jun-Ichiro Hirayama, Saori C Tanaka
IEEE Transactions on Neural Networks|January 29, 2008
Markov and Semi-Markov switching of source appearances for nonstationary independent component analysisJun-ichiro Hirayama, Shin-ichi Maeda, Shin Ishii
Neural Computation|January 7, 2016
Orthogonal Connectivity Factorization: Interpretable Decomposition of Variability in Correlation MatricesAapo Hyvärinen, Jun-ichiro Hirayama, Vesa Kiviniemi, et al.
Neuroimage|December 15, 2021
Asymmetric directed functional connectivity within the frontoparietal motor network during motor imagery and executionTakeshi Ogawa, Hideki Shimobayashi, Jun-Ichiro Hirayama, et al.
Plos One|December 22, 2016
Characterizing Variability of Modular Brain Connectivity with Constrained Principal Component AnalysisJun-Ichiro Hirayama, Aapo Hyvärinen, Vesa Kiviniemi, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|June 5, 2025
Interpretable Supervised Muscle Network Decomposition by Multifactorial ANOVA-ICAJun-Ichiro Hirayama
Journal of Neuroengineering and Rehabilitation|May 2, 2025
Beat-aligned motor synergies and kinematic beat detection in street dance movementsKeli Shen, Jun-Ichiro Hirayama
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Kinematic Motor Synergy Analysis to Understand Lock Dance ChoreographiesKeli Shen, Jun-Ichiro Hirayama
Neural Computation|May 15, 2015
Unifying Blind Separation and Clustering for Resting-State EEG/MEG Functional Connectivity AnalysisJun-Ichiro Hirayama, Takeshi Ogawa, Aapo Hyvärinen
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Simultaneous blind separation and clustering of coactivated EEG/MEG sources for analyzing spontaneous brain activityJun-ichiro Hirayama, Takeshi Ogawa, Aapo Hyvärinen
Neuroimage|July 22, 2019
State-unspecific patterns of whole-brain functional connectivity from resting and multiple task states predict stable individual traitsYu Takagi, Jun-Ichiro Hirayama, Saori C Tanaka
IEEE Transactions on Neural Networks|January 29, 2008
Markov and Semi-Markov switching of source appearances for nonstationary independent component analysisJun-ichiro Hirayama, Shin-ichi Maeda, Shin Ishii
Neural Computation|January 7, 2016
Orthogonal Connectivity Factorization: Interpretable Decomposition of Variability in Correlation MatricesAapo Hyvärinen, Jun-ichiro Hirayama, Vesa Kiviniemi, et al.
Neuroimage|December 15, 2021
Asymmetric directed functional connectivity within the frontoparietal motor network during motor imagery and executionTakeshi Ogawa, Hideki Shimobayashi, Jun-Ichiro Hirayama, et al.
Plos One|December 22, 2016
Characterizing Variability of Modular Brain Connectivity with Constrained Principal Component AnalysisJun-Ichiro Hirayama, Aapo Hyvärinen, Vesa Kiviniemi, et al.
Pageof 2