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Deep Learning-Based Parameter Estimation for Neurophysiological Models of Neuroimaging Data
View ORCID ProfileJohn David Griffiths, Zheng Wang, Syed Hussain Ather, Davide Momi, View ORCID ProfileScott Rich, Andreea Diaconescu, Anthony Randal McIntosh, View ORCID ProfileKelly Shen
doi: https://doi.org/10.1101/2022.05.19.492664
John David Griffiths
1Krembil Centre for Neuroinformatics, Centre for Addiction & Mental Health, Toronto
2Department of Psychiatry & Institute of Medical Sciences, University of Toronto
Zheng Wang
1Krembil Centre for Neuroinformatics, Centre for Addiction & Mental Health, Toronto
Syed Hussain Ather
1Krembil Centre for Neuroinformatics, Centre for Addiction & Mental Health, Toronto
3Institute of Medical Sciences, University of Toronto
Davide Momi
1Krembil Centre for Neuroinformatics, Centre for Addiction & Mental Health, Toronto
Scott Rich
4Krembil Brain Institute, University Health Network, Toronto
Andreea Diaconescu
1Krembil Centre for Neuroinformatics, Centre for Addiction & Mental Health, Toronto
2Department of Psychiatry & Institute of Medical Sciences, University of Toronto
Anthony Randal McIntosh
5Institute for Neuroscience & Neurotechnology (INN), Biomedical Physiology and Kinesiology, Simon Fraser University, Vancouver
Kelly Shen
5Institute for Neuroscience & Neurotechnology (INN), Biomedical Physiology and Kinesiology, Simon Fraser University, Vancouver
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Posted May 19, 2022.
Deep Learning-Based Parameter Estimation for Neurophysiological Models of Neuroimaging Data
John David Griffiths, Zheng Wang, Syed Hussain Ather, Davide Momi, Scott Rich, Andreea Diaconescu, Anthony Randal McIntosh, Kelly Shen
bioRxiv 2022.05.19.492664; doi: https://doi.org/10.1101/2022.05.19.492664
Deep Learning-Based Parameter Estimation for Neurophysiological Models of Neuroimaging Data
John David Griffiths, Zheng Wang, Syed Hussain Ather, Davide Momi, Scott Rich, Andreea Diaconescu, Anthony Randal McIntosh, Kelly Shen
bioRxiv 2022.05.19.492664; doi: https://doi.org/10.1101/2022.05.19.492664
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