Data-driven HRF estimation for encoding and decoding models

NeuroImage

Volumn 104, Issue , 2015, Pages 209-220

  Pedregosa, Fabian ^a,c   Eickenberg, Michael ^a,c   Ciuciu, Philippe ^a,c   Thirion, Bertrand ^a,c   Gramfort, Alexandre ^b,c  

^a INRIA SACLAY   (France)

^b INSTITUT TELECOM   (France)

^c CEA SACLAY   (France)

Author keywords

BOLD; Decoding; Encoding; Finite impulse response (FIR); Functional MRI (fMRI); Hemodynamic response function (HRF); Machine learning; Optimization

Indexed keywords

BIOLOGICAL MODEL; BRAIN; BRAIN MAPPING; HUMAN; IMAGE PROCESSING; MACHINE LEARNING; NEUROVASCULAR COUPLING; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; PROCEDURES; REGRESSION ANALYSIS; VISION;

BRAIN; BRAIN MAPPING; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MACHINE LEARNING; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; NEUROVASCULAR COUPLING; REGRESSION ANALYSIS; VISUAL PERCEPTION;

EID: 84949116812     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2014.09.060     Document Type: Article

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