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One of the major challenges in system neurosciences consists in developing techniques for estimating the cognitive information content in brain activity. This has an enormous potential in different domains spanning from clinical applications, cognitive enhancement to a better understanding of the neural bases of cognition. In this context, the inclusion of machine learning techniques to decode different aspects of human cognition and behavior and its use to develop brain–computer interfaces fordoi:10.3389/fnins.2022.811736 pmid:36161174 pmcid:PMC9492914 fatcat:t5zsiu4hdzb2bahjjguu24cz5q