Mark M. Schira

Affiliations: 
Smith-Kettlewell Eye Research Institute, San Francisco, CA, United States 
Area:
Vision
Website:
http://www.ski.org/CWTyler_lab/Schira/index.htm#Selected%20Abstracts:
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"Mark Schira"
Mean distance: 15.12 (cluster 29)
 
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Publications

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Schira MM, Isherwood ZJ, Kassem MS, et al. (2023) HumanBrainAtlas: an in vivo MRI dataset for detailed segmentations. Brain Structure & Function
Roberts MM, Schira MM, Spehar B, et al. (2022) Nature in motion: The tuning of the visual system to the spatiotemporal properties of natural scenes. Journal of Vision. 22: 7
Isherwood ZJ, Clifford CWG, Schira MM, et al. (2021) Nice and slow: Measuring sensitivity and visual preference toward naturalistic stimuli varying in their amplitude spectra in space and time. Vision Research. 181: 47-60
Puckett AM, Schira MM, Isherwood ZJ, et al. (2020) Manipulating the structure of natural scenes using wavelets to study the functional architecture of perceptual hierarchies in the brain. Neuroimage. 117173
Duong STM, Phung SL, Bouzerdoum A, et al. (2020) Susceptibility Artifact Correction for Sub-millimeter fMRI using Inverse Phase Encoding Registration and T1 Weighted Regularization. Journal of Neuroscience Methods. 108625
Menezes de Oliveira M, Pang JC, Robinson PA, et al. (2019) Feasibility of functional magnetic resonance imaging of ocular dominance and orientation preference in primary visual cortex. Plos Computational Biology. 15: e1007418
Mancini F, Wang AP, Schira MM, et al. (2019) Fine-grained mapping of cortical somatotopies in chronic Complex Regional Pain Syndrome. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience
Boyd Taylor H, Puckett AM, Isherwood ZJ, et al. (2019) Vascular effects on the BOLD response and the retinotopic mapping of hV4 Plos One. 14
Isherwood ZJ, Clifford CW, Schira MM, et al. (2019) The critical reliance of early visual cortex on the fractal structure of natural scenes Journal of Vision. 19: 123
Pang JC, Aquino KM, Robinson PA, et al. (2018) Biophysically based method to deconvolve spatiotemporal neurovascular signals from fMRI data. Journal of Neuroscience Methods. 308: 6-20
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