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Non-invasive laminar inference with MEG: Comparison of methods and source inversion algorithms
View ORCID ProfileJames J Bonaiuto, Holly E Rossiter, Sofie S Meyer, Natalie Adams, Simon Little, Martina F Callaghan, Fred Dick, Sven Bestmann, Gareth R Barnes
doi: https://doi.org/10.1101/147215
James J Bonaiuto
1Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, 12 Queen Square, London, UK
Holly E Rossiter
2CUBRIC, School of Psychology, Cardiff University, Cardiff, UK
Sofie S Meyer
1Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, 12 Queen Square, London, UK
3UCL Institute of Cognitive Neuroscience, University College London, 17 Queen Square, London, UK
Natalie Adams
4The Hull York Medical School, University of York, York YO10 5DD, UK
Simon Little
5Sobell Department of Motor Neuroscience and Movement Disorders, UCL Institute of Neurology, University College London, 33 Queen Square, London, UK
Martina F Callaghan
1Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, 12 Queen Square, London, UK
Fred Dick
6Birkbeck, University of London, London, UK
Sven Bestmann
5Sobell Department of Motor Neuroscience and Movement Disorders, UCL Institute of Neurology, University College London, 33 Queen Square, London, UK
Gareth R Barnes
1Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, 12 Queen Square, London, UK
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Posted June 07, 2017.
Non-invasive laminar inference with MEG: Comparison of methods and source inversion algorithms
James J Bonaiuto, Holly E Rossiter, Sofie S Meyer, Natalie Adams, Simon Little, Martina F Callaghan, Fred Dick, Sven Bestmann, Gareth R Barnes
bioRxiv 147215; doi: https://doi.org/10.1101/147215
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