In the tensor data analysis, the Kronecker covariance structure plays a vital role in unsupervised learning and regression. Under the Kronecker covariance model assumption, the covariance of an M</
Peak activations derived from an analysis of the Flanker conflict [bi fi > bc fc] and an interaction analysis [(fi > fc) > (bi > bc)] across the second experimental run.
