Noah C. Benson, PhD
Affiliations: | 2020- | eScience Institute | University of Washington, Seattle, Seattle, WA |
Area:
Visual Neuroscience, Data ScienceWebsite:
http://nben.net/Google:
"Noah Benson"Mean distance: 14.22 (cluster 29) | S | N | B | C | P |
Parents
Sign in to add mentorGeoffrey K. Aguirre | post-doc | 2010-2014 | Penn |
David H. Brainard | post-doc | 2010-2014 | Penn |
Jonathan Winawer | research scientist | 2014-2020 | NYU |
Jonathan Winawer | research scientist | 2014-2020 | NYU |
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Publications
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Benson NC, Yoon JMD, Forenzo D, et al. (2022) Variability of the Surface Area of the V1, V2, and V3 Maps in a Large Sample of Human Observers. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience |
Miyata T, Benson NC, Winawer J, et al. (2022) Structural covariance and heritability of the optic tract and primary visual cortex in living human brains. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience |
Kupers ER, Benson NC, Carrasco M, et al. (2022) Asymmetries around the visual field: From retina to cortex to behavior. Plos Computational Biology. 18: e1009771 |
Kupers ER, Benson NC, Winawer J. (2021) A visual encoding model links magnetoencephalography signals to neural synchrony in human cortex. Neuroimage. 245: 118655 |
Himmelberg MM, Kurzawski JW, Benson NC, et al. (2021) Cross-dataset reproducibility of human retinotopic maps. Neuroimage. 244: 118609 |
Kupers ER, Edadan A, Benson NC, et al. (2021) A population receptive field model of the magnetoencephalography response. Neuroimage. 244: 118554 |
Benson NC, Kupers ER, Babot A, et al. (2021) Cortical Magnification in Human Visual Cortex Parallels Task Performance around the Visual Field. Elife. 10 |
Gaglianese A, Branco MP, Groen IIA, et al. (2020) Electrocorticography Evidence of Tactile Responses in Visual Cortices. Brain Topography |
Lerma-Usabiaga G, Benson N, Winawer J, et al. (2020) A validation framework for neuroimaging software: The case of populationĀ receptive fields. Plos Computational Biology. 16: e1007924 |
Zhou J, Benson NC, Kay K, et al. (2019) Predicting neuronal dynamics with a delayed gain control model. Plos Computational Biology. 15: e1007484 |