Learning discrimination trajectories in EEG sensor space: application to inferring task difficulty

Journal of Neural Engineering
An Luo, Paul Sajda

Abstract

We describe a spatio-temporal linear discriminator for single-trial classification of multi-channel electroencephalography (EEG). No prior information about the characteristics of the neural activity is required, i.e., the algorithm requires no knowledge about the timing and spatial distribution of the evoked responses. The algorithm finds a temporal delay/window onset time for each EEG channel and then spatially integrates the channels for each channel-specific onset time. The algorithm can be seen as learning discrimination trajectories defined within the space of EEG channels. We demonstrate the method for detecting auditory-evoked neural activity and discrimination of task difficulty in a complex visual-auditory environment.

References

Mar 1, 1979·Investigative Radiology·J A Swets
Jul 15, 2000·IEEE Transactions on Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society·J R WolpawT M Vaughan
Jul 11, 2001·Neuroscience and Biobehavioral Reviews·D FriedmanH Gaeta
Aug 6, 2003·IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society·Lucas C ParraPaul Sajda
Aug 9, 2005·NeuroImage·Lucas C ParraPaul Sajda
Nov 1, 1996·Journal of Cognitive Neuroscience·Shlomo BentinGregory McCarthy

❮ Previous
Next ❯

Citations

Dec 24, 2015·Frontiers in Computational Neuroscience·Ran Manor, Amir B Geva
Nov 13, 2013·IEEE Transactions on Bio-medical Engineering·Galit Fuhrmann AlpertAmir B Geva
Jan 1, 2008·IEEE Reviews in Biomedical Engineering·Theodore W BergerWalid Soussou
Jan 10, 2017·Frontiers in Computational Neuroscience·Ran ManorAmir B Geva

❮ Previous
Next ❯

Related Concepts

Related Feeds

Auditory Perception

Auditory perception is the ability to receive and interpret information attained by the ears. Here is the latest research on factors and underlying mechanisms that influence auditory perception.

Brain-Computer Interface

A brain-computer interface, also known as a brain-machine interface, is a bi-directional communication pathway between an external device and a wired brain. Here is the latest research on this topic.

Related Papers

Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology
L HuY Hu
Trends in Cognitive Sciences
Stefan DebenerAndreas K Engel
Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Mads Dyrholm, Lucas C Parra
© 2021 Meta ULC. All rights reserved