Stimulus onset quenches neural variability: a widespread cortical phenomenon
2010 · Nature Neuroscience · 1,163 citations
https://doi.org/10.1038/nn.2501
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Byron M. Yu
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Byron M. Yu is an academic researcher from Albert Einstein College of Medicine. The author has contributed to research in topics: EEG and Brain-Computer Interfaces & Neural dynamics and brain function & Neuroscience and Neural Engineering. The author has an h-index of 43, co-authored 116 publications.
ORCID: 0000-0003-2252-6938Papers by this author
worksGaussian-Process Factor Analysis for Low-Dimensional Single-Trial Analysis of Neural Population Activity
2009 · Journal of Neurophysiology · 718 citations
https://doi.org/10.1152/jn.90941.2008
Feedforward and feedback interactions between visual cortical areas use different population activity patterns
2022 · Nature Communications · 134 citations
https://doi.org/10.1038/s41467-022-28552-w
Statistical methods for dissecting interactions between brain areas
2020 · Current Opinion in Neurobiology · 87 citations
https://doi.org/10.1016/j.conb.2020.09.009
Distinct population codes for attention in the absence and presence of visual stimulation
2018 · Nature Communications · 41 citations
https://doi.org/10.1038/s41467-018-06754-5
Dynamical constraints on neural population activity
2025 · Nature Neuroscience · 19 citations
https://doi.org/10.1038/s41593-024-01845-7
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