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A dynamic gradient architecture generates brain activity states

Jesse A. Brown, Alex J. Lee, Lorenzo Pasquini, William W. Seeley
doi: https://doi.org/10.1101/2020.08.12.248112
Jesse A. Brown
1University of California, San Francisco, Memory and Aging Center, Department of Neurology, San Francisco, CA, USA
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  • For correspondence: jesse.brown@ucsf.edu
Alex J. Lee
1University of California, San Francisco, Memory and Aging Center, Department of Neurology, San Francisco, CA, USA
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Lorenzo Pasquini
1University of California, San Francisco, Memory and Aging Center, Department of Neurology, San Francisco, CA, USA
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William W. Seeley
1University of California, San Francisco, Memory and Aging Center, Department of Neurology, San Francisco, CA, USA
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Article Information

doi 
https://doi.org/10.1101/2020.08.12.248112
History 
  • March 3, 2021.

Article Versions

  • Version 1 (August 13, 2020 - 01:05).
  • Version 2 (August 24, 2020 - 22:05).
  • You are viewing Version 3, the most recent version of this article.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.

Author Information

  1. Jesse A. Brown1,*,
  2. Alex J. Lee1,
  3. Lorenzo Pasquini1 and
  4. William W. Seeley1
  1. 1University of California, San Francisco, Memory and Aging Center, Department of Neurology, San Francisco, CA, USA
  1. ↵*Correspondence to: jesse.brown{at}ucsf.edu
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Posted March 03, 2021.
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A dynamic gradient architecture generates brain activity states
Jesse A. Brown, Alex J. Lee, Lorenzo Pasquini, William W. Seeley
bioRxiv 2020.08.12.248112; doi: https://doi.org/10.1101/2020.08.12.248112
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A dynamic gradient architecture generates brain activity states
Jesse A. Brown, Alex J. Lee, Lorenzo Pasquini, William W. Seeley
bioRxiv 2020.08.12.248112; doi: https://doi.org/10.1101/2020.08.12.248112

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