Beamspace fast fully adaptive brain source localization for limited data sequences
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Publication:5268488
DOI10.1088/1361-6420/AA6807zbMATH Open1367.92064OpenAlexW2598667543MaRDI QIDQ5268488
Publication date: 20 June 2017
Published in: Inverse Problems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1088/1361-6420/aa6807
Uses Software
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- Localizing true brain interactions from EEG and MEG data with subspace methods and modified beamformers π π
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- Adaptive integration of local region information to detect fine-scale brain activity patterns π π
- Localizing brain activity from multiple distinct sources via EEG π π
- Optimal Sequential Detection of Stimuli from Multiunit Recordings Taken in Densely Populated Brain Regions π π
- Source localization with MEG data: A beamforming approach based on covariance thresholding π π
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