The correct acknowledgment should read:
The authors are grateful for the fruitful comments of Dr. Igor Furtat related to the algorithmic portion of the work. The experimental portion (Section 3) was prepared within the framework of a subsidy granted to the National Research University Higher School of Economics by the Government of the Russian Federation for the implementation of the Global Competitiveness Program. The data fusion algorithm for reconstruction of pen traces (Section 2) was adapted to the use with the EMG data solely under support of RNF (grant 14-29-00142) in IPME RAS.
The change requested does not affect the scientific validity of the results.
Statements
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Summary
Keywords
handwriting, electromyography, pattern recognition, dynamical modeling, the Kalman filter, the Wiener filter
Citation
Okorokova E, Lebedev M, Lindermann M and Ossadtchi A (2016) Corrigendum: A dynamical model improves reconstruction of handwriting from multichannel electromyographic recordings. Front. Neurosci. 9:517. doi: 10.3389/fnins.2015.00517
Received
20 December 2015
Accepted
22 December 2015
Published
25 January 2016
Volume
9 - 2015
Edited and reviewed by
Giovanni Mirabella, Sapienza University, Italy
Updates
Copyright
© 2016 Okorokova, Lebedev, Lindermann and Ossadtchi.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Alex Ossadtchi ossadtchi@gmail.com
This article was submitted to Neural Technology, a section of the journal Frontiers in Neuroscience
Disclaimer
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