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The cICA code refers to the implementation of the constrained independent component analysis algorithm, which is used to separate a multivariate signal into independent, non-Gaussian components. This algorithm utilizes constraints to ensure that the extracted components are relevant to the problem at hand. The implementation of the cICA algorithm involves several steps, including data pre-processing, selection of appropriate constraints, and optimization of the objective function. Additionally, the performance of the algorithm can be evaluated using various metrics, such as the degree of non-Gaussianity of the extracted components or the accuracy of the separation. Overall, the cICA code is a powerful tool for signal processing and has applications in a variety of fields, including neuroscience, finance, and speech analysis.