Affiliations 

  • 1 Department of Physical Medicine and Rehabilitation, Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA
  • 2 G.Tec Medical Engineering GmbH, Guger Technologies OG, Schiedlberg, Austria
  • 3 Psychology Department, Northern Michigan University, Marquette, MI, USA
  • 4 Team PhyPA, Biological Psychology and Neuroergonomics, Technical University of Berlin, Berlin, Germany
  • 5 Auckland University of Technology, New Zealand
  • 6 Cluster of Excellence BrainLinks-BrainTools, University of Freiburg, Germany
  • 7 Neuroscience Business Unit, Starlab Barcelona SLU, Barcelona, Spain
  • 8 Ctr. For Neurorestoration and Neurotechnology, Rehab. R&D Service, Dept. of VA Medical Center, School of Engineering, Brown University, Providence, RI, USA
  • 9 Institute of Neural Engineering, BCI- Lab, Graz University of Technology, Graz, Austria
  • 10 Section Experimental Neurorehabilitation, Spinal Cord Injury Center, University Hospital in Heidelberg, Heidelberg, Germany
  • 11 Institute: Laboratoire Interdisciplinaire Sciences Innovations Sociétés (LISIS), Université Paris-Est Marne-la-Vallée, MARNE-LA-VALLÉE, France
  • 12 Dept Neurology & Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, University of Utrecht, Utrecht, Netherlands
  • 13 Faculty EEMCS, Enschede, University of Twente, The Netherlands & Imagineering Institute, Iskandar, Malaysia
  • 14 New York State Department of Health, National Center for Adaptive Neurotechnologies, Wadsworth Center, Albany, New York USA
  • 15 Clinical Neurophysiology, Fondazione Santa Lucia, Neuroelectrical Imaging and BCI Lab, IRCCS, Rome, Italy
  • 16 Human Research and Engineering Directorate, U.S. Army Research Laboratory, Aberdeen Proving Ground, Aberdeen, MD USA
  • 17 Machine Learning Group, Technical University of Berlin, Berlin, Germany
  • 18 Defitech Chair in Brain-machine Interface (CNBI), Center for Neuroprosthetics, École Polytechnique Fédérale de Lausanne, EPFL-STI-CNBI, Campus Biotech H4, Geneva, Switzerland
  • 19 Cognitive Systems Lab, University of Bremen, Bremen, Germany
  • 20 Brain Mind Research Inst, Weill Cornell Medical College, Early Brain Injury and Recovery Lab, Burke Medical Research Inst, White Plains, New York, USA
  • 21 Department of Neurology, UC Irvine Brain Computer Interface Lab, University of California, Irvine, CA, USA
  • 22 Department of Physical Medicine and Rehabilitation, Department of Veterans Affairs, VA Pittsburgh Healthcare System, University of Pittsburgh, Pittsburgh, PA, USA
  • 23 Center for the Neural Basis of Cognition and Department Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA
  • 24 Neuropsychology Lab, Department of Psychology, European Medical School, Cluster of Excellence Hearing4all, University of Oldenburg, Oldenburg, Germany
  • 25 Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA USA
  • 26 Department of Computer Science, Colorado State University, Fort Collins, CO USA
  • 27 Brain Center Rudolf Magnus, Dept Neurology and Neurosurgery, University Medical Center Utrecht, Utrecht, The Netherlands
PMID: 29152523 DOI: 10.1080/2326263X.2016.1275488

Abstract

The Sixth International Brain-Computer Interface (BCI) Meeting was held 30 May-3 June 2016 at the Asilomar Conference Grounds, Pacific Grove, California, USA. The conference included 28 workshops covering topics in BCI and brain-machine interface research. Topics included BCI for specific populations or applications, advancing BCI research through use of specific signals or technological advances, and translational and commercial issues to bring both implanted and non-invasive BCIs to market. BCI research is growing and expanding in the breadth of its applications, the depth of knowledge it can produce, and the practical benefit it can provide both for those with physical impairments and the general public. Here we provide summaries of each workshop, illustrating the breadth and depth of BCI research and highlighting important issues and calls for action to support future research and development.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.