Multi-objective evolutionary algorithms and rough sets for decomposition and analysis of cortical evoked potentials

Abstract

Signal decomposition techniques prove to be useful in the analysis of neural activity, as they allow for identification of supposedly distinct neuronal structures (i.e., sources of activity). Applied to measurements of brain activity in a controlled setting as well as under exposure to an external stimulus, they allow for analysis of the impact of the… (More)
DOI: 10.1109/GRC.2006.1635882

Topics

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