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  • Bingni W. Brunton, Lise A. Johnson, Jeffrey G. Ojemann, J. Nathan Kutz
  • Biology, Computer Science, Medicine
  • Journal of Neuroscience Methods
  • 2016 (First Published: 19 September 2014)
  • BACKGROUND There is a broad need in neuroscience to understand and visualize large-scale recordings of neural activity, big data acquired by tens or hundreds of electrodes recording dynamic brainContinue Reading
  • Krithika Manohar, Bingni W. Brunton, J. Nathan Kutz, Steven L. Brunton
  • Engineering, Mathematics, Computer Science
  • IEEE Control Systems
  • 2018 (First Published: 26 January 2017)
  • Optimal sensor and actuator placement is an important unsolved problem in control theory. Nearly every downstream control decision is affected by these sensor and actuator locations, but determiningContinue Reading
  • James Kunert-Graf, Kristian Eschenburg, David J. Galas, J. Nathan Kutz, Swati D. Rane, Bingni W. Brunton
  • Computer Science, Medicine
  • Front. Comput. Neurosci.
  • 2019 (First Published: 31 October 2019)
  • Resting state networks (RSNs) extracted from functional magnetic resonance imaging (fMRI) scans are believed to reflect the intrinsic organization and network structure of brain regions. MostContinue Reading
  • Steven L. Brunton, Bingni W. Brunton, Joshua L. Proctor, J. Nathan Kutz, Hans Armin Kestler
  • Mathematics, Medicine
  • PloS one
  • 2016 (First Published: 11 October 2015)
  • In this wIn this work, we explore finite-dimensional linear representations of nonlinear dynamical systems by restricting the Koopman operator to an invariant subspace spanned by specially chosenContinue Reading