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- W2956789743 abstract "Deconvolution methods are used to denoise the blood oxygen level-dependent (BOLD) response, the signal that forms the basis of functional MRI (fMRI). In this work we propose a novel approach based on a temporal regularized deconvolution of the BOLD fMRI signal with the least absolute shrinkage and selection operator (LASSO) model, solved using the angle regression algorithm (LARS). In this way we were able to recover the underlying neurons activations and their dynamics" @default.
- W2956789743 created "2019-07-23" @default.
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- W2956789743 date "2018-06-14" @default.
- W2956789743 modified "2023-09-25" @default.
- W2956789743 title "L1-Norm Regularized Deconvolution of Functional MRI BOLD Signal" @default.
- W2956789743 hasPublicationYear "2018" @default.
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