Adaptive complex-valued dictionary learning: Application to fMRI data analysis.

•Dictionary learning with adaptive sparsity for complex-valued data is presented.•Wirtinger’s calculus is used to derive simple closed form solutions.•Phase ambiguity of the components is removed using learned temporal dynamics.•Brain map templates are used to highlight accuracy of the recovered spatial maps.•The generated high-quality phase maps can be used to identify unwanted voxels.