If you have some questions about our codes, please send an e-mail to takiyama1106_at_yahoo.co.jp (Ken Takiyama).
Our codes are available now used in the following papers:
NOTE: Glmnet for MATLAB does not work in recent versions of MATLAB without some bothersome procedures. We thus uploaded a R Markdown file.
Daisuke Furuki and Ken Takiyama*, A data-driven approach to decompose motion data into task-relevant and task-irrelevant components in categorical outcome, Scientific Reports, 2020, [ Link ]
Ken Takiyama*, Hikaru Yokoyama*, Naotsugu Kaneko, Kimitaka Nakazawa, Speed-dependent and mode-dependent modulations of spatiotemporal modules in human locomotion extracted via tensor decomposition,, Scientific Reports, 2020, [ Link ], bioRxiv, 2019 [ Link ]
Daisuke Furuki, Ken Takiyama, Detection of task-relevant and task-irrelevant motion sequences: application to motor adaptation in goal-directed and whole-body movements, bioRxiv, 2018 [ Link ], Sci Rep, 2019 [ Link ]
*NOTE: Although the files in FurukiTakiyama2018.zip are available (see below), the RMarkdown file in FurukiTakiyama2020SciRep.zip can deal with both continuous and binary cases by modulating one parameter. Please refer to the explanation in the RMarkdown file.