PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Empirical evidence of the linear nature of magnetoencephalograms
Antti Honkela, Tomas Östman and Ricardo Vigário
In: ESANN 2005, 27-29 Apr 2005, Bruges, Belgium.

Abstract

Over recent years many algorithms have been used for the analysis of electro- and magnetoencephalograms, assuming a linear model for the mixing of cortical activity at the sensor plane. Such linearity can be theoretically justified, through the Maxwell equations. In this paper we exploit the adaptive and modular nature of the variational Bayesian hierarchical nonlinear factor analysis to give empirical evidence of linearity, as well as to estimate the intrinsic dimension of the generative source space.

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EPrint Type:Conference or Workshop Item (Oral)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
Brain Computer Interfaces
Theory & Algorithms
ID Code:1489
Deposited By:Antti Honkela
Deposited On:28 November 2005