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EFTA02693126 222 into a time series of scalp maps (-100-0 ms in increments of 10 ms for a total of I I scalp maps). 223 The topoplot function of EEGLAB [Delorme and Makeig 2004 (http://sccn.ucsd.edu/eeglab/)] 224 was used to plot the correlation values. The contribution of the reconstruction of each
ographic signals during tool use Conf Proc IEEE Eng Med Biol Soc; 5306:5309, 678 2008 679 25 EFTA_R1_02036222 EFTA02693143 680 Bradberry TJ, Rong F and Contreras-Vidal JL. Decoding center-out hand velocity from MEG 681 signals during visuomotor adaptation Neuroimage 47: 1691:1700, 2009a 682 6
series (-110-0 ms in increments of 10 ms) of scalp maps. These spatial renderings of sensor contributions were produced by the topoplot function of EEGLAB (Delorme and Makcig 2004), an open-source MATLAB toolbox for electrophysiological data processing that performs bihannonic spline interpolation (S
al J L 2010 Reconstructing three-dimensional hand movements from noninvasive electroencephalographic signals J. Neurosci. 30 31:2 7 Bradherry Ti, Rong F and Contreras-Vidal J L 2009 Decoding center-out hand velocity from MEG signals during visuomotor adaptation Neurointage 47 1691 700 Cisek P and K
EFTA00304375 222 into a time series of scalp maps (-100-0 ms in increments of 10 ms for a total of 11 scalp maps). 223 The topoplot function of EEGLAB [Delorme and Makeig 2004 (http://sccn.ucsd.edukezlab/)] 224 was used to plot the correlation values. The contribution of the reconstruction of each
7 magnetoencephalographic signals during tool use Conf Proe IEEE Eng Med Biol Soc; 5306:5309, 678 2008 679 25 EFTA00304392 680 Bradberry TJ, Rong F and Contreras-Vidal JL. Decoding center-out hand velocity from MEG 681 signals during visuomotor adaptation Netwoimage 47: 1691:1700, 2009a 682 6
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