Blind Source Separation with Sparsity Constraints for Magnetoencephalography
作者： Francesca Pitolli , Vittorio Pizzella , Massimo Fornasier
DOI:
关键词:
摘要: Several phenomena are a superposition of basic events, in that it is important to identify the sources these events and their contribution overall phenomena. Blind Source Separation (BSS) aim reveal unknown assuming: a) observed signals source activity linearly dependent; b) stochastic process. We present new mathematical model based on BSS with sparsity for Magnetoencephalography, scope which identification neural currents taking place during brain activity. Since only few areas active at same time, characterizes problem better than sole assumption. [ DOI : 10.1685/CSC06082] About
参考文章(6)
Jason Cantarella, Dennis DeTurck, Herman Gluck, The Biot–Savart operator for application to knot theory, fluid dynamics, and plasma physics Journal of Mathematical Physics. ,vol. 42, pp. 876- 905 ,(2001) , 10.1063/1.1329659
Ingrid Daubechies, Ten Lectures on Wavelets ,(1992)
Emmanuel J. Candès, David L. Donoho, New tight frames of curvelets and optimal representations of objects with piecewiseC2singularities Communications on Pure and Applied Mathematics. ,vol. 57, pp. 219- 266 ,(2004) , 10.1002/CPA.10116
Cosimo Del Gratta, Vittorio Pizzella, Franca Tecchio, Gian Luca Romani, Magnetoencephalography - a noninvasive brain imaging method with 1 ms time resolution Reports on Progress in Physics. ,vol. 64, pp. 1759- 1814 ,(2001) , 10.1088/0034-4885/64/12/204
I. Daubechies, M. Defrise, C. De Mol, An iterative thresholding algorithm for linear inverse problems with a sparsity constraint Communications on Pure and Applied Mathematics. ,vol. 57, pp. 1413- 1457 ,(2004) , 10.1002/CPA.20042
Horace Barlow, What is the computational goal of the neocortex The MIT Press. ,(1994)