Neural Source Localization Using Advanced Sensor Array Signal Processing Techniques
MICHIGAN UNIV ANN ARBOR
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This paper aims to describe a hybrid technique that combines the feasibility of our recently developed Multiresolution Analysis of Signal Subspace Invariance Technique MASSIT with the Finite Element Method FEM analytic model developed to obtain accurate localization scheme of neural sources in an extracellular recording environment. The power of the proposed method stems from the fact that robust array signal processing approach is fused with the FEM analysis yielding the closest scenario to practical experimental situations. Results from experimental signal and noise simulated composite are summarized and the overall performance is evaluated.
- Anatomy and Physiology
- Numerical Mathematics