Beyond binning: Getting more out of the time course of one-sample-per-trial data
Beyond binning: Getting more out of the time course of one-sample-per-trial data is a scholarly work, published in 2018 in ''Journal of Vision''. The main subjects of the publication include statistical test, sample, smoothing, data mining, connectome, data and information visualization, artificial intelligence, Permutation, computer science, statistics, missing data, pattern recognition, sample size determination, and algorithm. The authors show that this method can be used to visualize the time course and to perform statistical testing for differences between conditions, as well for differences against a predetermined baseline.