Journal article
Multi-Domain Feature Selection in Auditory Mismatch Negativity via Parafac-Based Template Matching Approach **This work was supported by Natural Sciences and Engineering Research Council (NSERC) and Canada Research Chairs (CRC) program.
Abstract
MisMatch Negativity (MMN) is a small event-related potential (ERP) that provide an index of sensory learning and perceptual accuracy for the cognitive research. Group-level analysis plays an important role for detecting differences at group or condition level, especially when the signal-to-noise ratio is low. Tensor factorization has provided a framework for group-level analysis of ERPs by exploiting more information of brain responses in more …
Authors
Pouryazdian S; Chang A; Bosnyak DJ; Trainor LJ; Beheshti S; Krishnan S
Journal
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Vol. 2016, , pp. 1603–1607
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
August 2016
DOI
10.1109/embc.2016.7591019
ISSN
1557-170X