Decoding Word Semantics from Magnetoencephalography Time Series Transformations

Neuroimaging techniques such as Magnetoencephalography have facilitated the careful study of perceptual and motor systems. These processes are largely feed-forward and bottom up, and the evoked responses are very consistent. Gaining a similarly strong understanding of higher-level cognitive thought has proven more difficult. The processes involved in higher-order thought appear to be spatially distributed, involve top-down cognitive influence and are not as tightly coupled to the stimulus. To deal with these complications and inconsistencies, we need a robust method for processing the MEG signal. In this study we explore several methods of processing the MEG signal and evaluate their utility for decoding the higher order cognitive process of noun comprehension.

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