Topographical Estimation of Visual Population Receptive Fields by fMRISangkyun Lee 1, Amalia Papanikolaou 2, Georgios A. Keliris 2,3, Stelios M. Smirnakis 1
1Department of Neuroscience and Neurology, Baylor College of Medicine, 2Max Planck Institute for Biological Cybernetics, 3Bernstein Center for Computational Neuroscience
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.
