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fMRI Dependent Components Analysis Reveals Dynamic Relations Between Functional Large Scale Cortical Networks

View ORCID ProfileUri Hertz, View ORCID ProfileDaniel Zoran, Yair Weiss, Amir Amedi
doi: https://doi.org/10.1101/066282
Uri Hertz
1UCL Institute of Cognitive Neuroscience, University College London, 17 Queen Square, London WC1N 3AR, UK
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Daniel Zoran
2Google DeepMind, 5 New Street Square, London EC4A 3TW, UK
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Yair Weiss
3Interdisciplinary Center for Neural Computation (ICNC), The Edmond & Lily Safra Center for Brain Sciences (ELSC), Hebrew University of Jerusalem, Jerusalem 91905, Israel
4School of Computer Science and Engineering, Hebrew University of Jerusalem, Jerusalem 91905, Israel
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Amir Amedi
3Interdisciplinary Center for Neural Computation (ICNC), The Edmond & Lily Safra Center for Brain Sciences (ELSC), Hebrew University of Jerusalem, Jerusalem 91905, Israel
5Dept. of Medical Neurobiology, Institute for Medical Research Israel-Canada (IMRIC), Hadassah Medical School, Hebrew University of Jerusalem, Jerusalem 91220, Israel
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Posted July 27, 2016.
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fMRI Dependent Components Analysis Reveals Dynamic Relations Between Functional Large Scale Cortical Networks
Uri Hertz, Daniel Zoran, Yair Weiss, Amir Amedi
bioRxiv 066282; doi: https://doi.org/10.1101/066282
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fMRI Dependent Components Analysis Reveals Dynamic Relations Between Functional Large Scale Cortical Networks
Uri Hertz, Daniel Zoran, Yair Weiss, Amir Amedi
bioRxiv 066282; doi: https://doi.org/10.1101/066282

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