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al. 2003). Signals from each EEG electrode were decimated by a 149 factor of 5 (to 100 liz), then filtered with a zero-phase, 3rd order, band-pass Butterworth filter 150 (0.1 — 2 Hz) and normalized by subtracting their mean and dividing by their standard deviation 151 (Bradbeny et al. 2010). Kinematic d
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
The best decoding results were obtained when both the MEG and kinematic data were subsequently filtered with a zero-phase. fourth-order, low-pass Butterworth filter with a cutoff frequency of 15 Hz. The data for each phase of the task were pre-processed separately. Decoding model In the subsequent analy
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
t al. 2003). Signals from each EEG electrode were decimated by a 149 factor of 5 (to 100 Hz), then filtered with a zero-phase, 3rd order, band-pass Butterworth filter 150 (0.1 - 2 Hz) and normalized by subtracting their mean and dividing by their standard deviation 151 (Bradberry et al. 2010). Kinematic
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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