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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
rk using sLORETA to determine whether they corroborated non-decoding visuomotor adaptation studies that employed other imaging modalities like EEG (Contreras-Vidal and Kerick, 2004), positron emission tomography (PET) (Inoue et al.. 2000: Ghilardi et al.. 2000; Krakauer et al.. 2004). and functional magnetic
chlin, L Ferraina. 5.. Lacquaniti. F, Caminiti, R. 1999. Parietofrontal coding of reaching: an integrated framework. Exp. Brain Res. 129. 325-346. Contreras-Vidal. J.L Kerick. S.E.. 2004. Independent component analysis of dynamic brain responses during visuornotor adaptation. Neuroimage 21.936-945. Delorme. A
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
readmill walking from non-invasive, 2 electroencephalographic (EEG) signals 3 4 5 Alessandro Presacco', Ronald Goodman`, Larry Forrestal 's and Jose Luis Contreras-Vidal" 6 7 8 University of Maryland, College Park: 9 Neural Engineering and Smart Prosthetics Research Laboratory, Department of Kinesiology, 10 Sc
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
treadmill walking from non-invasive, 2 electroencephalographic (EEG) signals 3 4 5 Alessandro Presacco', Ronald Goodmans, Larry Forrester" and Jose Luis Contreras-Vidal 23 6 7 8 University of Maryland, College Park: 9 'Neural Engineering and Smart Prosthetics Research Laboratory, Department of Kinesiology, 10
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James Baker
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