Denoise neural signals using tensor decompositions.

Data should be formatted as an array Y that is size (N,T,C,R) where N is the number of neurons, T is the number of time points, C is the number of conditions, and R is the total number of trials. The fourth index should be padded with NaNs in cases where each neuron-condition pair did not see the same number of trials. Further, trial ordering conveys no meaning.

• tensorDenoiseGridSearchCV.m -- Finds the optimal tensor rank via grid search and leave-one-out cross-validation.
• tensorDenoiseCluster.m -- A wrapper file to pass parameters through tensorDenoiseGridSearchCV.m.
• tensorDenoiseERR.m -- Computes the relative error of tensor Yhat relative to Y.
• tensorDenoiseDat2Plot.m -- Takes the output files from tensorDenoiseCluster.m and produces the cell array errPlot, which can be used to plot results.