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What is Decoding Cognitive States via SVR in fMRI about?

This study used support vector regression to decode cognitive states from fMRI data of participants immersed in a virtual reality environment. The researchers aimed to predict subjective experiences from fMRI data in order to develop brain-computer interfaces. Support vector regression was applied as it can perform complex nonlinear regression and generalize well. The methodology involved preprocessing fMRI data with feature selection, then using support vector regression to predict subjective states from v

Author
NoScript
Language
EN

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