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e polynomial model as implemented in the Matlab's loess function with a span 141 (percentage of the total number of data points) of 10%. 142 143 Signal preprocessing. Figure I shows our decoding methodology. All the data analysis, decoder 144 design and cross-validation procedures were performed of
stems Neuroplasticity in the Aging Brain: 741 Recruiting Additional Neural Resources for Successful Motor Performance in Elderly Persons J 742 of Neurosci, 28(1): 91-99, 2008 743 744 Iseki K, Hanakawa T, Shinozaki I, Nankaku M, Fukuyama H. Neural mechanisms involved 745 in mental imagery and observ
pre-exposure and zero. IDE in pre-exposure and early-exposure. IDE in pre-exposure and late-exposure. and IDE in pre-exposure and post- exposure. Signal pre-processing Data from each MEG sensor were first standardized according to Eq. ( I ): S„[t] = salt] gn for all n from I to N ( 1) Slk where
Wise. Si'.. Boossaoud. D.. Johnson. R..1997. Premotor and parietal cortex: conicocortical connectivity and combinatorial computations. Annu. Rev. Neurosci. 20 25-42. Wolpaw. J.R. McFarland. D.J. 2001. Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans. Ro
e polynomial model as implemented in the Matlab's loess function with a span 141 (percentage of the total number of data points) of 10%. 142 143 Signal preprocessing. Figure 1 shows our decoding methodology. All the data analysis, decoder 144 design and cross-validation procedures were performed of
stems Neuroplasticity in the Aging Brain: 741 Recruiting Additional Neural Resources for Successful Motor Performance in Elderly Persons J 742 of Neurosci, 28(1): 91-99, 2008 743 744 Iseki K, Hanakawa T, Shinozaki J, Nankaku M, Fukuyama H. Neural mechanisms involved 745 in mental imagery and observ
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