Predicting behavior from resting-state fMRI data using short-time dynamic mode decomposition

○Shigeyuki Ikeda

[1Pm-130] Predicting behavior from resting-state fMRI data using short-time dynamic mode decomposition

○Shigeyuki Ikeda^1,2, Okito Yamashita^1,2 (1. RIKEN Center for Advanced Intelligence Project, 2. ATR Neural Information Analysis Laboratories)

Keywords:Prediction, Individual difference, Resting-state fMRI, Dynamic mode decomposition

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Presentation information

[1Pm] Neuroinformatics and Large-scale Simulation

[1Pm-130] Predicting behavior from resting-state fMRI data using short-time dynamic mode decomposition

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