title: Corrigendum: A dynamical model improves reconstruction of handwriting from multichannel electromyographic recordings.
abstract: [This corrects the article on p. 389 in vol. 9, PMID: 26578856.].
authors.affiliation: Centre for Cognition and Decision Making, National Research University Higher School of Economics Moscow, Russia.
authors.forename: Elizaveta
authors.initials: E
authors.lastname: Okorokova
authors.affiliation: Department of Neurobiology, Duke University Durham, NC, USA.
authors.forename: Mikhail
authors.initials: M
authors.lastname: Lebedev
authors.affiliation: Department of Biomedical Engineering, Norconnect Inc. Ogdensburg, NY, USA.
authors.forename: Michael
authors.initials: M
authors.lastname: Lindermann
authors.affiliation: Centre for Cognition and Decision Making, National Research University Higher School of EconomicsMoscow, Russia; Laboratory of Control of Complex Systems, Institute of Problems of Mechanical Engineering, Russian Academy of SciencesSt. Petersburg, Russia.
authors.forename: Alex
authors.initials: A
authors.lastname: Ossadtchi
keywords: dynamical modeling; electromyography; handwriting; pattern recognition; the Kalman filter; the Wiener filter