EEG decoding of semantic category reveals distributed representations for single concepts
Murphy, B. and Poesio, M. and Bovolo, F. and Bruzzone, L. and Dalponte, M. and Lakany, H. (2011) EEG decoding of semantic category reveals distributed representations for single concepts. Brain and Language, 117 (1). pp. 12-22. (https://doi.org/10.1016/j.bandl.2010.09.013)
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Abstract
Here we present a collection of advanced data-mining techniques that allows the semantics of individual concepts to be decoded from single trials of EEG data. Neural activity was recorded while participants silently named images of mammals and tools, and category could be detected in single trials with an accuracy well above chance, both when considering data from single participants, and when group-training across participants. The pattern of classifications made by the algorithm confirmed that the neural patterns identified are due to conceptual category, and not any of a series of processing-related confounds. The time intervals, frequency bands and scalp locations that proved most informative for prediction permit physiological interpretation: the widespread activation shortly after appearance of the stimulus (from 100ms) is consistent both with accounts of multi-pass processing, and distributed representations of categories. These methods provide a new alternative to fMRI for fine-grained investigations of the conceptual lexicon.
ORCID iDs
Murphy, B., Poesio, M., Bovolo, F., Bruzzone, L., Dalponte, M. and Lakany, H. ORCID: https://orcid.org/0000-0003-3079-0392;-
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Item type: Article ID code: 28507 Dates: DateEventApril 2011PublishedSubjects: Technology > Engineering (General). Civil engineering (General) > Bioengineering
Technology > Engineering (General). Civil engineering (General)Department: Faculty of Engineering > Bioengineering Depositing user: Ms Ashley Urie Date deposited: 28 Oct 2010 10:24 Last modified: 09 Oct 2024 00:20 URI: https://strathprints.strath.ac.uk/id/eprint/28507