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  • Danielle S. Bassett, Nicholas F. Wymbs, Mason A. Porter, Peter J. Mucha, Jean M. Carlson, Scott T. Grafton
  • Biology, Physics, Mathematics, Psychology, Medicine
  • Proceedings of the National Academy of Sciences
  • 2011 (First Publication: 19 October 2010)
  • Human learning is a complex phenomenon requiring flexibility to adapt existing brain function and precision in selecting new neurophysiological activities to drive desired behavior. These twoContinue Reading
  • Danielle S. Bassett, Nicholas F. Wymbs, M. Puck Rombach, Mason A. Porter, Peter J. Mucha, Scott T. Grafton
  • Biology, Mathematics, Physics, Medicine, Computer Science
  • PLoS Computational Biology
  • 2013 (First Publication: 12 October 2012)
  • As a person learns a new skill, distinct synapses, brain regions, and circuits are engaged and change over time. In this paper, we develop methods to examine patterns of correlated activity across aContinue Reading
  • Nicholas F. Wymbs, Danielle S. Bassett, Peter J. Mucha, Mason A. Porter, Scott T. Grafton
  • Medicine, Biology
  • Neuron
  • 2012 (First Publication: 1 June 2012)
  • Motor chunking facilitates movement production by combining motor elements into integrated units of behavior. Previous research suggests that chunking involves two processes: concatenation, aimed atContinue Reading
  • Nicholas F. Wymbs, R. J. Ingham, J. C. Ingham, Katherine E. Paolini, Scott T. Grafton
  • Psychology, Medicine
  • Brain and Language
  • 2013 (First Publication: 1 February 2013)
  • Recent brain imaging investigations of developmental stuttering show considerable disagreement regarding which regions are related to stuttering. These divergent findings have been mainly derivedContinue Reading
  • Weiyu Huang, Leah Goldsberry, Nicholas F. Wymbs, Scott T. Grafton, Danielle S. Bassett, Alejandro Ribeiro
  • Computer Science, Medicine, Biology
  • IEEE Journal of Selected Topics in Signal…
  • 2016 (First Publication: 2 November 2015)
  • This paper presents methods to analyze functional brain networks and signals from graph spectral perspectives. The notion of frequency and filters traditionally defined for signals supported onContinue Reading