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qPRF: A system to accelerate population receptive field decoding.

Autor: Waz S; Center for Neural Science, New York University, 4 Washington Place, New York, 10003, NY, USA., Wang Y; School of Computing and Augmented Intelligence, Arizona State University, 699 S. Mill Avenue, Tempe, 85281, AZ, USA., Lu ZL; Division of Arts and Sciences, NYU Shanghai, 567 West Yangsi Road, Pudong New District, 200124, Shanghai, China.; Center for Neural Science, New York University, 4 Washington Place, New York, 10003, NY, USA.; NYU-ECNU Institute of Brain and Cognitive Science, 3663 Zhongshan Road North, Putuo District, 200062, Shanghai, China.

Publikováno v: BioRxiv : the preprint server for biology [bioRxiv] 2024 Aug 15. Date of Electronic Publication: 2024 Aug 15.

A population receptive field model of the magnetoencephalography response

Autor: Kupers, Eline R. ^{a, b, c, 1, 3, ⁎}, Edadan, Akhil ^{d, e, 1}, Benson, Noah C. ^{a, b, f, 4}, Zuiderbaan, Wietske ^d, de Jong, Maartje C. ^{d, g, h}, Dumoulin, Serge O. ^{d, e, i, 2}, Winawer, Jonathan ^{a, b, 2}

Publikováno v: In NeuroImage 1 December 2021 244

Comparing BOLD and VASO-CBV population receptive field estimates in human visual cortex

Autor: Oliveira, Ícaro A.F., Cai, Yuxuan, Hofstetter, Shir, Siero, Jeroen C.W., van der Zwaag, Wietske, Dumoulin, Serge O.

Publikováno v: In NeuroImage March 2022 248

Combining stimulus types for improved coverage in population receptive field mapping

Autor: Linhardt, David, Pawloff, Maximilian, Hummer, Allan, Woletz, Michael, Tik, Martin, Ritter, Markus, Schmidt-Erfurth, Ursula, Windischberger, Christian

Publikováno v: In NeuroImage September 2021 238