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Topographical Estimation of Visual Population Receptive Fields by fMRI
 

Topographical Estimation of Visual Population Receptive Fields by fMRI

Article DOI: 10.3791/51811-v • 06:02 min • February 3rd, 2015
February 3rd, 2015 •
1, 2, 2,3, 1
1Department of Neuroscience and Neurology, Baylor College of Medicine, 2Max Planck Institute for Biological Cybernetics, 3Bernstein Center for Computational Neuroscience

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It is important to obtain unbiased estimates of visual population receptive fields (pRFs) by functional magnetic resonance imaging. We use mild regularization constraints to estimate pRF topography without a-priori assumptions about pRF shape, allowing us to choose specific pRF models post-hoc. This is particularly advantageous in subjects with visual-pathway lesions.

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Topographical Estimation Visual Population Receptive Fields FMRI Retinotopic Organization Voxel-based Population Receptive Fields (pRF) PRF Estimation Methods PRF Model Mislocalization Topographical PRF Estimation Method Linear Model Blood Oxygen Level-Dependent (BOLD) Signal Hemodynamic Response Function Weight Vector Aggregate Response Visual Field Locations Linear Equations Ridge Regression PRF Parameters PRF-center Location PRF Orientation Size
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