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Multivariate analysis reveals a generalizable human electrophysiological signature of working memory load
View ORCID ProfileKirsten C.S. Adam, Edward K. Vogel, View ORCID ProfileEdward Awh
doi: https://doi.org/10.1101/2020.06.04.135053
Kirsten C.S. Adam
1Department of Psychology, University of California San Diego, La Jolla, CA 92093
2Institute for Neural Computation, University of California San Diego, La Jolla, CA 92093
Edward K. Vogel
3Grossman Institute for Neuroscience, Quantitative Biology, and Human Behavior, University of Chicago, Chicago, IL, 60637
4Department of Psychology, University of Chicago, Chicago, IL, 60637
5Institute for Mind and Biology, University of Chicago, Chicago, IL, 60637
Edward Awh
3Grossman Institute for Neuroscience, Quantitative Biology, and Human Behavior, University of Chicago, Chicago, IL, 60637
4Department of Psychology, University of Chicago, Chicago, IL, 60637
5Institute for Mind and Biology, University of Chicago, Chicago, IL, 60637
Posted August 31, 2020.
Multivariate analysis reveals a generalizable human electrophysiological signature of working memory load
Kirsten C.S. Adam, Edward K. Vogel, Edward Awh
bioRxiv 2020.06.04.135053; doi: https://doi.org/10.1101/2020.06.04.135053
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