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Decoding memory processing from experimental and spontaneous human brain activity using intracranial electrophysiological recordings and machine learning based methods.

Publications

Decoding intracranial EEG data with multiple kernel learning method

Author(s): Jessica Schrouff, Janaina Mourão-Miranda, Christophe Phillips, Josef Parvizi
Published in: Journal of Neuroscience Methods, Issue 261, 2016, Page(s) 19-28, ISSN 0165-0270
DOI: 10.1016/j.jneumeth.2015.11.028

Intracranial electrophysiology reveals reproducible intrinsic functional connectivity within human brain networks

Author(s): Aaron Kucyi, Jessica Schrouff, Stephan Bickel, Brett L. Foster, James M. Shine, Josef Parvizi
Published in: The Journal of Neuroscience, 2018, Page(s) 0217-18, ISSN 0270-6474
DOI: 10.1523/JNEUROSCI.0217-18.2018

Embedding Anatomical or Functional Knowledge in Whole-Brain Multiple Kernel Learning Models

Author(s): Jessica Schrouff, J. M. Monteiro, L. Portugal, M. J. Rosa, C. Phillips, J. Mourão-Miranda
Published in: Neuroinformatics, Issue 16/1, 2018, Page(s) 117-143, ISSN 1539-2791
DOI: 10.1007/s12021-017-9347-8

Mapping human temporal and parietal neuronal population activity and functional coupling during mathematical cognition

Author(s): Amy L. Daitch, Brett L. Foster, Jessica Schrouff, Vinitha Rangarajan, Itır Kaşikçi, Sandra Gattas, Josef Parvizi
Published in: Proceedings of the National Academy of Sciences, Issue 113/46, 2016, Page(s) E7277-E7286, ISSN 0027-8424
DOI: 10.1073/pnas.1608434113

Interpreting weight maps in terms of cognitive or clinical neuroscience: nonsense?

Author(s): J. Schrouff, J. Mourao-Miranda
Published in: 2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI), 2018, Page(s) 1-4
DOI: 10.1109/PRNI.2018.8423944