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Investigative Ophthalmology & Visual Science|January 5, 2002
Comparing machine learning classifiers for diagnosing glaucoma from standard automated perimetryMichael H Goldbaum, Pamela A Sample, Kwokleung Chan, et al.
Annals of Biomedical Engineering|May 17, 2014
Closed-loop brain-machine-body interfaces for noninvasive rehabilitation of movement disordersFrédéric D Broccard, Tim Mullen, Yu Mike Chi, et al.
Investigative Ophthalmology & Visual Science|September 28, 2005
Using unsupervised learning with independent component analysis to identify patterns of glaucomatous visual field defectsMichael H Goldbaum, Pamela A Sample, Zuohua Zhang, et al.
Scientific Reports|November 10, 2019
The nucleus does not significantly affect the migratory trajectories of amoeba in two-dimensional environmentsIldefonso M De la Fuente, Carlos Bringas, Iker Malaina, et al.
Investigative Ophthalmology & Visual Science|September 28, 2005
Unsupervised machine learning with independent component analysis to identify areas of progression in glaucomatous visual fieldsPamela A Sample, Catherine Boden, Zuohua Zhang, et al.
Epilepsy & Behavior : E&B|December 3, 2014
Proceedings of the Fifth International Workshop on Advances in ElectrocorticographyAnthony Ritaccio, Peter Brunner, Aysegul Gunduz, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|October 18, 2019
BRAIN Initiative: Cutting-Edge Tools and Resources for the CommunityElizabeth Litvina, Amy Adams, Alison Barth, et al.
Nature Communications|March 23, 2023
Catalyzing next-generation Artificial Intelligence through NeuroAIAnthony Zador, Sean Escola, Blake Richards, et al.
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