Computational Modeling of Electroencephalography and Functional Magnetic Resonance Imaging Paradigms Indicates a

Rick A Adams1, Dimitris Pinotsis2, Konstantinos Tsirlis3

  • 1Centre for Medical Image Computing and Artificial Intelligence, University College London, London, United Kingdom; Institute of Cognitive Neuroscience, University College London, London, United Kingdom; Max Planck-UCL Centre for Computational Psychiatry and Ageing Research, London, United Kingdom; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.

Biological Psychiatry
|October 2, 2021
PubMed
Abstract