Ariel Rokem, Ph.D.
Affiliations: | 2015- | eScience | University of Washington, Seattle, Seattle, WA |
Area:
MRI, Vision, Data ScienceWebsite:
http://arokem.orgGoogle:
"Ariel Rokem"Mean distance: 13.11 (cluster 29) | S | N | B | C | P |
Parents
Sign in to add mentor| Andreas V. Herz | research assistant | 2002-2003 | Institute for Theoretical Biology | |
| Merav Ahissar | grad student | 2003-2005 | Hebrew University | |
| Michael A. Silver | grad student | 2006-2010 | UC Berkeley | |
| (Neural mechanisms of perceptual learning.) | ||||
| Brian A. Wandell | post-doc | 2011- | Stanford | |
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Publications
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| Chandio BQ, Risacher SL, Pestilli F, et al. (2020) Bundle analytics, a computational framework for investigating the shapes and profiles of brain pathways across populations. Scientific Reports. 10: 17149 |
| Bressler DW, Rokem A, Silver MA. (2019) Slow Endogenous Fluctuations in Cortical Functional Magnetic Resonance Imaging Signals Correlate with Reduced Performance in a Visual Detection Task and Are Suppressed by Spatial Attention. Journal of Cognitive Neuroscience. 1-15 |
| Beyeler M, Nanduri D, Weiland JD, et al. (2019) A model of ganglion axon pathways accounts for percepts elicited by retinal implants. Scientific Reports. 9: 9199 |
| Keshavan A, Yeatman JD, Rokem A. (2019) Combining Citizen Science and Deep Learning to Amplify Expertise in Neuroimaging. Frontiers in Neuroinformatics. 13: 29 |
| Bain JS, Yeatman JD, Schurr R, et al. (2019) Evaluating arcuate fasciculus laterality measurements across dataset and tractography pipelines. Human Brain Mapping |
| Huber E, Henriques RN, Owen JP, et al. (2019) Applying microstructural models to understand the role of white matter in cognitive development. Developmental Cognitive Neuroscience. 36: 100624 |
| Huber E, Donnelly PM, Rokem A, et al. (2018) Rapid and widespread white matter plasticity during an intensive reading intervention. Nature Communications. 9: 2260 |
| Yeatman JD, Richie-Halford A, Smith JK, et al. (2018) A browser-based tool for visualization and analysis of diffusion MRI data. Nature Communications. 9: 940 |
| Ferizi U, Scherrer B, Schneider T, et al. (2017) Diffusion MRI microstructure models with in vivo human brain Connectome data: results from a multi-group comparison. Nmr in Biomedicine |
| Beyeler M, Rokem A, Boynton G, et al. (2017) Learning to see again: biological constraints on cortical plasticity and the implications for sight restoration technologies. Journal of Neural Engineering |