Adaptive Cluster Analysis Approach for Functional Localization Using Magnetoencephalography

Adaptive Cluster Analysis Approach for Functional Localization Using Magnetoencephalography

In this paper we propose an agglomerative hierarchical clustering Ward’s algorithm in tandem with the Affinity Propagation algorithm to reliably localize active brain regions from magnetorencephalography (MEG) brain signals. Reliable localization of brain areas with MEG has been difficult due to var...

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Bibliographic Details
Main Authors: Hooman eAlikhanian, J. Douglas eCrawford, Joseph F X DeSouza, Douglas eCheyne, Gunnar eBlohm
Format: Article
Language:English
Published: Frontiers Media S.A. 2013-05-01
Series:Frontiers in Neuroscience
Subjects:
machine learning
Cluster analysis
Magnetoencephalography (MEG)
localization of function
beamforming
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnins.2013.00073/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnins.2013.00073/full

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