Tang, Akaysha, Pearlmutter, Barak A., Zibulevsky, Michael and Carter, Scott A. (2000) Blind source separation of multichannel neuromagnetic responses. Neurocomputing, 32. pp. 1115-1120. ISSN 0925-2312
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Abstract
Magnetoencephalography (MEG) is a functional brain imaging technique with millisecond
temporal resolution and millimeter spatial sensitivity. The high temporal resolution of MEG
compared to fMRI and PET (milliseconds vs. seconds and tens of seconds) makes it ideal for
measuring the precise time of neuronal responses, thereby o!ering a powerful tool for studying
temporal dynamics. We applied blind-source separation (BSS) to continuous 122-channel
human magnetoencephalographic data from two subjects and "ve tasks. We demonstrate that
without using any domain-speci"c knowledge and without making the common assumption of
single- or multiple-current dipole sources, BSS is capable of separating non-neuronal noise
sources from neuronal responses and also of separating neuronal responses from di!erent
sensory modalities, and from di!erent processing stages within a given modality
Item Type: | Article |
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Keywords: | Functional brain imaging; Independent components analysis; Magnetoencephalography; Blind source separation; |
Academic Unit: | Faculty of Science and Engineering > Computer Science Faculty of Science and Engineering > Research Institutes > Hamilton Institute |
Item ID: | 5535 |
Identification Number: | 10.1016/S0925-2312(00)00286-1 |
Depositing User: | Barak Pearlmutter |
Date Deposited: | 04 Nov 2014 10:14 |
Journal or Publication Title: | Neurocomputing |
Publisher: | Elsevier |
Refereed: | Yes |
Related URLs: | |
URI: | https://mu.eprints-hosting.org/id/eprint/5535 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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