The graded changes of response timing across the six different types of characters suggest that the neural time estimates required by interception are affected by animacy.
Analyzing neural time series data: theory and practice, (The MIT Press, 2014).
He is the author of Analyzing Neural Time Series Data: Theory and Practice (MIT Press).
Cui, J., Xu, L., Bressler, S. L., Ding, M. & Liang, H. Bsmart: a Matlab/C Toolbox for analysis of multichannel neural time series.
Although there are chapters in handbooks, and even entire books on digital signal processing, none are as comprehensive, pragmatic, lucid, or entertaining as Analyzing Neural Time Series Data.
The estimated neural time course was multiplied with a time course in which trials with infrequent up and down arrows were set to 1 and trials with frequent left and right arrows were set to −1.
The third place winner applied CSP on spectrally filtered neural time series prediction preprocessing (NTSPP) signals [30].
Thereby, an astrocyte glutamate uptake deficiency triggers an increase of the (v_{1}) value, and we observe an increase in the oscillation frequencies in the neural time series.
Clive Granger won the Nobel Prize in economics for a closely related parametric measure in econometric theory (and, more recently, applied extensively to neural time series data (Ding et al.2006)), the Wiener-Granger causality (Geweke1982; Granger1969; Wiener1956).
The bulk of our results suggests that neural time mechanisms involve systems differentially tuned to animate and inanimate motion.
