1 Department of Physiology, Center for Integrative Neuroscience, San Francisco, CA, US.
2 UC Berkeley-UCSF Bioengineering Graduate Program, University of California, San Francisco, CA, US.
M.G. Bleichner, J.M. Jansma, Z.V. Freudenburg, E.J. Aarnoutse, M.J. Vansteensel, N.F. Ramsey
Give me a sign: The possibilities of using hand gestures as control signal for implanted brain computer interfaces
Rudolf Magnus Institute of Neuroscience, Dept. of Neurology and Neurosurgery, University Medical Center Utrecht, NL.
D. T. Bundy, E. C. Leuthardt
An Ipsilateral, Contralesional BCI in Chronic Stroke Patients
Washington University, St. Louis, Mo, USA.
M. C. Dadarlat1,2, J. E. O’Doherty1, P. N. Sabes1,2
A learning-based approach to artificial sensory feedback: intracortical microstimulation replaces and augments vision
1 Department of Physiology, Center for Integrative Neuroscience, San Francisco, CA, US.
2 UC Berkeley-UCSF Bioengineering Graduate Program, University of California, San Francisco, CA, US.
Y. Hashimoto1, T. Ota2, M. Mukaino2, J.Ushiba3
Motor recovery of chronic writer’s cramp by brain-computer interface rehabilitation: A pilot study
1 Department of Electrical and Electronic Engineering, Kitami Institute of Technology, Kitami, Hokkaido , JP.
2 Department of Physical Medicine and Rehabilitation, Asahikawa Medical University Hospital, Asahikawa, Hokkaido, JP.
3 Department of Biosciences and Informatics, Faculty of Science and Technology, Keio University, Yokohama, Kanagawa, JP.
I. Iturrate1, R. Chavarriaga2, L. Montesano1, J. Minguez1, J. del R. Millán2
Cognitive signals for brain-machine interfaces: an alternative paradigm to neuroprosthetics control
1 Instituto de Investigación en Ingeniería de Aragón and Dpto. de Informatica e Ingeniería de Sistemas, University of Zaragoza, ES.
2 Defitech Foundation Chair in Non-Invasive Brain-Machine Interface, EPFL, Lausanne, CH.
N. Jiang1, N. Mrachacz-Kersting2, R. Xu1, K. Dremstrup2 and D. Farina1
An Accurate, Versatile, and Robust Brain Switch for Neurorehabilitation
1 Department of Neurorehabilitation Engineering, Bernstein Center for Computational Neuroscience, University Medical Center, Göttingen, DE.
2 Center for Sensory-Motor Interaction, Department of Health Science and Technology, Aalborg University, Aalborg, DK.
D. Looney1, P. Kidmose2, M. J. Morrell1,3, D. P. Mandic1
Ear-EEG: Continuous Brain Monitoring
1 Imperial College London, UK.
2 Aarhus University, Denmark.
3 Sleep Unit, Royal Brompton Hospital, London, UK.
D. Novak1, B. Beyeler1, X. Omlin1, R. Riener1,2
A hybrid brain computer interface for adaptive workload estimation in rehabilitation robotics
1 Sensory-Motor Systems Lab, ETH Zurich, CH.
2 Spinal Cord Injury Center of Balgrist University Hospital, CH.
M. Shanechi1,2, R. Hu4,5, M. Powers4, G. Wornell3, E. Brown4,5,6, Z. Williams4,5
A concurrent brain-machine interface for sequential motor function
1 Department of Electrical Engineering and Computer Science, University of California, Berkeley, CA, USA.
2 Department of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA.
3 Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
4 Massachusetts General Hospital, Boston, MA, USA.
5 Harvard Medical School, Boston, MA, USA
6 Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
D. Zhang, H. Song, R. Xu, B. Hong
Exploring an fMRI-guided minimally invasive subdural N200 speller
Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, CN.
The Award Ceremony took place during the BCI Meeting 2013
in Asilomar, California, USA, June 3rd-7th, 2013