0565994 - ÚI 2024 RIV US eng J - Journal Article
Pidnebesna, Anna - Fajnerová, I. - Horáček, J. - Hlinka, Jaroslav
Mixture Components Inference for Sparse Regression: Introduction and Application for Estimation of Neuronal Signal from fMRI BOLD.
Applied Mathematical Modelling. Roč. 116, April 2023 (2023), s. 735-748. ISSN 0307-904X. E-ISSN 1872-8480
R&D Projects: GA ČR(CZ) GA21-32608S
Grant - others:AV ČR(CZ) AP1901
Program: Akademická prémie - Praemium Academiae
Institutional support: RVO:67985807
Keywords : FMRI * BOLD * Deconvolution * Mixtures with varying concentrations * Neuronal signal estimation
OECD category: Statistics and probability
Impact factor: 5, year: 2022
Method of publishing: Limited access
https://dx.doi.org/10.1016/j.apm.2022.11.034
Permanent Link: https://hdl.handle.net/11104/0337441
Pidnebesna, Anna - Fajnerová, I. - Horáček, J. - Hlinka, Jaroslav
Mixture Components Inference for Sparse Regression: Introduction and Application for Estimation of Neuronal Signal from fMRI BOLD.
Applied Mathematical Modelling. Roč. 116, April 2023 (2023), s. 735-748. ISSN 0307-904X. E-ISSN 1872-8480
R&D Projects: GA ČR(CZ) GA21-32608S
Grant - others:AV ČR(CZ) AP1901
Program: Akademická prémie - Praemium Academiae
Institutional support: RVO:67985807
Keywords : FMRI * BOLD * Deconvolution * Mixtures with varying concentrations * Neuronal signal estimation
OECD category: Statistics and probability
Impact factor: 5, year: 2022
Method of publishing: Limited access
https://dx.doi.org/10.1016/j.apm.2022.11.034
Permanent Link: https://hdl.handle.net/11104/0337441