4 citations · 6 across the 4 of their papers we have counts for
4 papers
A generalized spatiotemporal covariance model for stationary background in analysis of MEG data
S. M. Plis, D. M. Schmidt, S. C. Jun +1
Using a noise covariance model based on a single Kronecker product of spatial and temporal covariance in the spatiotemporal analysis of MEG data was demonstrated to provide improve…
Modeling spatiotemporal noise covariance for MEG/EEG source analysis
S. M. Plis, J. S. George, S. C. Jun +4
We propose a new model for approximating spatiotemporal noise covariance for use in MEG/EEG source analysis. Our model is an extension of an existing model [1,2] that uses a single…
Bayesian Inference Applied to the Electromagnetic Inverse Problem
David M. Schmidt, John S. George, C. C. Wood
We present a new approach to the electromagnetic inverse problem that explicitly addresses the ambiguity associated with its ill-posed character. Rather than calculating a single `…
Continuous Probability Distributions from Finite Data
David M. Schmidt
Recent approaches to the problem of inferring a continuous probability distribution from a finite set of data have used a scalar field theory for the form of the prior probability…