Workshops are a defining feature of the BCI Meeting Series. BCI Meeting workshops have a distinctive emphasis on interaction and contribution from all members. They help to shape the field of BCI research, producing consensus and collaborations.

There are 3 workshop sessions.  At the time of registration, you will have the option to select one workshop per session.  Please note that some workshops have a limited seating capacity, so please register early to ensure you can attend the workshop of your choice.

For a full list of workshops, their descriptions, intended audiences and learning objectives, click here.

SESSION 1- WEDNESDAY, MAY 23 (9:00-12:00)
WS 1: BCIs for stroke rehabilitation­­­

Christoph Guger, g.tec medical engineering GmbH, Austria
José del R. Millán, Institute of Bioengineering, EPFL, Switzerland
Vivek Prabhakaran, University of Wisconsin-Madison Radiology WIMR, USA
Kyousuke Kamada, Asahikawa University, Japan
Tetsuo Ota, Asahikawa University, Japan
Milena Korostenskaja, Florida Hospital for Children, USA
Michael Tangermann, University Freiburg, Germany
David Lin, MGH Harvard, USA

This workshop will review current stroke rehabilitation programs from different research labs and will provide insight into technology (EEG, MEG, fMRI), experimental setups (VR, FES, BCI), results and outcomes of patient studies in the acute, sub-acute or chronic state.

WS 6: Progress in Decoding Speech processes using intracranial signals

Christian Herff, University of Bremen
Tanja Schultz, University of Bremen
Dean Krusienski, Old Dominion University
Jon Brumberg, University of Kansas
Phil Kennedy, Neural Signals
Tonio Ball, University of Freiburg
Efraim Salari, UMC Utrecht
Josh Chartier, UC San Francisco
James O’Sullivan, Columbia University
Stephanie Ries-Cornou, San Diego State University
Blaise Yvert, University  Grenoble Alpes

In this workshop, we will discuss recent progress in processing and decoding speech using intracranial signals. The workshop will begin with short presentations describing work on speech synthesis, phonological context, auditory processing, articulatory representations, auditory attention, deep learning, communication disorders, among other topics. The subsequent discussion among all presenting experts will include future research directions and opportunities for collaboration and data sharing.

WS 7: Noninvasive BCI-control of FES for grasp restoration in high spinal cord injured humans

Gernot Müller-Putz, TU-Graz
Rüdiger Rupp, Heidelberg University Hospital
Alexandra Vuckovic, University of Glasgow
Andreea Sburlea, Graz BCI Lab
Joana Pereira, Graz University of Technology

This interdisciplinary workshop will give an update on the application of noninvasive BCIcontrolled grasp neuroprostheses in end users and will include a combination of coordinated invited talks together with demonstrations and structured targeted discussions.

WS 14: Collaborative and Competing Multi-Brain BCI’s

Chris Berka, Advanced Brain Monitoring, Carlsbad, CA, USA
Davide Valeriani, University of Essex, Colchester
Fabien Lotte, Inria, France
Jan van Erp, TNO, Netherlands
Anton Nijholt, University of Twente, Netherlands
Tim Mullen, Intheon, San Diego, USA

Various ways of merging and comparing brain activity of multiple users need to be considered and will be investigated in the workshop, this includes the computation of multi-users‘ features such as synchrony, models which are trained based on multi-users signals, and the development of BCI paradigms optimized for several users.

WS 15: ECoG based BCIs

Gerwin Schalk, NCAN
Dora Hermes, Stanford
Ayse Gunduz, Florida University
Kai Miller, Stanford

Electrocorticography (ECoG) is the technique of interacting with the brain electrically by stimulating or recording from the surface of the brain. ECoG has been used for decades for select clinical purposes – most commonly to identify functional and epileptic brain areas in people with epilepsy – and occasionally for research. The important role of ECoG for basic research and its potential to create a new range of clinical applications have long been under-appreciated.

WS 19: Examining Ethical Assumptions About Neural Engineering and BCI Development

Paul Tubig, Philosophy, Center for Sensorimotor Neural Engineering, University of Washington
Judy Illes, National Core for Neuroethics, University of British Columbia
Jonathan Wolpaw, Adaptive Center for Neurotechnology, Wadsworth Center, New York
Jane Huggins, Biomedical Engineering, University of Michigan
Laura Specker Sullivan, Center for Bioethics, Harvard University

The aim of this workshop is for participants to identify and examine the underlying ethical assumptions and values that shape the decisions and direction of BCI and neural engineering research. The workshop will be based on an ethical engagement approach developed by the Center for Sensorimotor Neural Engineering (CSNE) ethics thrust. The main workshop will consist of two activities: (1) a brief neuroethical survey to identify researchers’ ethical values related to BCI research, and (2) a facilitated dialogue with researchers about their answers on the survey. The general goal is to foster ethical reflexivity and to assure that the direction of BCI and neural engineering research accords with the ethical commitments the researchers themselves endorse. The learning objectives are the following: (1) understanding the importance of considering the ethical implications of BCI research, (2) identifying and examining the ethical assumptions and values shaping the design and conduct of BCI research, and (3) reflecting on and discussing how facilitated interdisciplinary dialogue can foster ethical reflexivity.

WS 22: Towards the Elusive Killer App for BCIs

Brendan Allison
Angela Vujic
Jing Jin
Christoph Guger

As implied by the title of this BCI Conference, BCIs may be getting lost in translation. Or, perhaps we simply don’t yet have the technology or ideas to inspire the BCI Killer App. This workshop will review some of the challenges in translating to mainstream (not clinical) populations. These include the need for more transparent, wearable sensors and new ways to incorporate the capabilities of modern sensing systems into mainstream apps. We will present new systems that strive toward addressing these goals, and participants will be able to try wearing them to see how they look and feel.  The workshop will conclude with discussion, focused on development of new ideas or models to encourage further research.

WS 23: User-Centered Design in BCI development; A Broad Perspective

Prof. Dr. Andrea Kübler, University of Würzburg
Ray Grott, San Francisco State University and RESNA (Rehabilitation Engineering and Assistive Technology Society of North America)
Katya Hill, University of Pittsburgh
Elmar Pels, University Medical Center Utrecht
Dr. Erik Aarnoutse, University Medical Center Utrecht

In this workshop BCI researchers discuss their experiences with at home use and users’ feedback, and experts from outside the BCI field will share their insights about user-centered design. Additionally, participants to the workshop can send in questions to a person using a communication BCI at home for two years, the answers will be discussed at the workshop during an interactive and lively panel discussion.

WS 25: ­­­­­­­­­­­­­­­Lower-limb brain-machine interfaces and their applications                                                                                                                                                    

Kyuhwa Lee, EPFL
An Hong Do, University of California, Irvine
José L. Contreras-Vidal, University of Houston
José Pons, Cajal Institute, Spanish National Research Council
Ricardo Chavarriaga, EPFL

Lower-limb brain-machine interfaces (BMI) have been gaining more attention as its potential for assistive and clinical applications has become more prominent. Advances in robotic systems such as lower-limb exoskeletons and rehabilitative devices as well as more powerful machine learning algorithms have opened up new ideas and possibilities in such applications. More recently, rehabilitation coupled with BMI has been increasingly studied but still the majority of the effort has been put in upper limbs compared to lower limbs. Through this workshop, we intend to bring together researchers of different perspectives from neuroscience, robotics and data science to discuss about the current state of the lower-limb BMI and come up with a roadmap for future lower-limb BMI research.

SESSION 2- THURSDAY, MAY 24 (9:00-12:00)
 WS 2: BCIs for assessment of locked-in and DOC patients

Christoph Guger, g.tec medical engineering GmbH, Austria
Damien Coyle, University of Ulster, UK
Donatella Mattia, Neuroelectrical Imaging and BCI Lab, Fondazione Santa Lucia, Italy
Chang S. Nam, North Carolina State University, USA
Jing Jin, East China University of science and Technology, China
Kyousuke Kamada, Asahikawa Medical University, Japan

This workshop will provide an overview over groups that aim to use BCI technology to identify non-responsive patients or locked-in patients that might be able to communicate and use the technology as an assessment tool.

WS 4: Turning negative into positives! Exploiting “negative” results in Brain-Machine Interface research

Fabien Lotte, LaBRI
Camille Jeunet, EPFL
Laurent Bougrain, LORIA
Ricardo Chavarriaga, EPFL
Moritz Grosse-Wentrup, Max Planck Institute for Intelligent Systems

This workshop aims at discussing and promoting the reporting of relevant so-called “negative” results, from which we can draw significant conclusions. Besides inviting participants to report their own (unpublished) negative results, we will discuss criteria that help designing experiments and analysis criteria that allows extraction of useful knowledge, even when the initial hypothesis are not confirmed. Last but not least, we will advance means to promote the reporting of such results, e.g., by organizing a special issue about negative BMI research results in a BMI journal.

WS 8: ­­­­­­­­Eye Tracking, Vision, and BCI

Melanie Fried-Oken, PhD, CCC-SLP
Bruce Wojciechowski, OD, FCOVD
Michelle Kinsella, OTR/L
Betts Peters, MA, CCC-SLP
Brandon Eddy, MA, CCC-SLP
Deniz Erdogmus, PhD
Leslie Collins, PhD
Boyla Mainsah, PhD

This workshop will begin with an examination of the visual and oculomotor impairments often experienced by people with severe speech and physical disabilities, clinical presentation and assessment of these impairments, and barriers to eye tracking or BCI system use. Participants will then have an opportunity to experience simulated visual impairments and explore how they affect perception of visual BCI interfaces. After an overview of the use of eye tracking and BCI as assistive technology access methods, we will present results of studies involving modified visual interfaces and the fusion of EEG and eye tracking data, and discuss related engineering concepts. We will conclude with a group dialogue discussing recommendations and future research directions at the intersection of BCI, eye tracking, and visual impairment. An important topic of this discussion will be experimental and quantitative modeling approaches that can be followed to develop accurate models of the effect of visual impairments on brain and gaze signal acquisition.

WS 9: Natural Language Processing & BCI

Steven Bedrick, Oregon Health and Science University
David Smith, Google
Brian Roark, Google
Shiran Dudy, Oregon Health and Science University

There exist substantial obstacles to translating NLP techniques to a BCI context. Abbreviations and other forms of shortening pose difficulties for traditional language models, and the inherently noisy channel of BCI means that entry errors are common. Furthermore, many modern techniques for language model training rely on large amounts of training data, which, when collected from users of BCI systems, poses substantial privacy concerns. The workshop organizers have practical, real-world experience with such issues (in both BCI and, crucially, in analogous non-BCI contexts such as mobile devices and medical records), and are excited to provide a venue for discussion. Additionally, the workshop will provide attendees with an overview of the fundamentals of NLP as applied to BCI, and is intended for a general scientific audience.

WS 11: ­­­­­­­­BCI and Augmented/Virtual Reality

Felix Putze, University Bremen
Hakim Si Mohammed, IRISA
Nick Waytowich, US Army Research
Sergi Bermudez i Badia and/or Athanasios Vourvopoulos, University Madeira
Christian Herff, University Bremen
Jelena Mladenovic, Inria Bordeaux
Tim Mullen, Intheon
Dean Krusienski , Old Dominion University

During this workshop, we will have a combination of presentations, live demonstrations, and discussions. Our goal is to create an understanding of the current capabilities of BCI in VR/AR applications, to create a taxonomy of current and future applications and to identify technical challenges. BCI researchers who are new to VR/AR will have the opportunity to learn about the necessary technical foundations.

WS 13: ­Recent Developments in Non-Invasive EEG SensorTechnology

Chuck Anderson, Colorado State University
Walter Besio, University of Rhode Island
Walid Soussou, Quasar
Hasan Ayaz, Drexel University

Conventional non-invasive EEG electrodes limit the quality of recorded EEG and BCI applications. Recently developed sensing technologies may lead to breakthroughs that are necessary for practical BCI. This workshop will discuss use, cost, and signal quality of sensing technologies such as no-prep dry electrodes, fNIRS, ultrasound, and tri-polar concentric electrodes.

WS 17: Making use of the future of BCI implant technology

Erik Aarnoutse, University Medical Center Utrecht
Robert Franklin, Blackrock
Tim Denison, Medtronic
Luca Maiolo, CNR-IMM
Samantha Santacruz, University of California, Berkeley

This workshop is designed to bring together engineers, clinicians and neuroscientists. The audience is invited to share experiences with clinical implant studies. The discussed technologies are in different phases of readiness for clinical evaluation. Therefore, the focus of the workshop will shift from use tomorrow to use in a further future. Finally, the workshop organizer shares experience and will give guidelines to implement the latest technology in a clinical setting and into the homes of users.

WS 18: Clinical Applications of Brain-Computer Interfaces in Neurorehabilitation

An H. Do, University of California
Evgeniy Kreydin, University of Southern California
Charles Liu, University of Southern California
Zoran Nenadic, University of California
Marc Slutzky, Northwestern University
Karunseh Ganguly, University of California
Spencer Kellis, California Institute of Technology

The first part of this workshop will explore the areas of clinical rehabilitation that are in urgent need of attention, examine how BCIs can potentially be used to address these areas, and discuss how BCIs are positioned in context of other emerging rehabilitation approaches. The second part of the workshop will focus on how close collaborations between clinicians, neuroscientists, and engineers can foster a meaningful approach to bridging the unmet needs in clinical rehabilitation.

SESSION 3- THURSDAY, MAY 24 (13:15-16:15)
WS 3: ECoG for control and mapping

Christoph Guger, g.tec medical engineering GmbH, Austria
Kyousuke Kamada, Asahikawa University, Japan
Milena Korostenskaja, Florida Hospital for Children, USA
Jing Jin, East China University, China
Kai Miller, Stanford  University, USA

This workshop will show state-of-the art ECoG experiments for control and mapping and describe how the data acquisition, signal processing and experimental setup is done in the operating room and intensive care unit.

 WS 5: Real-time BCI communication for non-verbal individuals with cerebral palsy: Challenges and Strategies for Progress

Jane Huggins, PhD, University of Michigan
James A. Blackman, MD, MPH, Cerebral Palsy Alliance Research Foundation
Katya Hill, PhD, CCC-SLP, University of Pittsburgh
Adam Kirton, MD, University of Calgary
Christian Herff, PhD, University of Bremen

This workshop is intended to ensure that the special considerations necessary for thought-to-speech work for people with CP are considered early in the development process by creating a research strategy and roadmap for developing a real-time BCI for communication among individuals with CP.

 WS 10: Tools for establishing neuroadaptive technology through passive BCIs

Dr. Thorsten O. Zander, Zander Laboratories
Dr. David Medine, Brain Products
Dr. Martijn Schreuder, ANT
Dr. Olva Krigolson, University of Victoria
Lena M. Andreessen, Technische Universität Berlin
Laurens R. Krol, Technische Universität Berlin

This workshop is aimed at participants interested in applications of BCI technology in HumanComputer Interaction for users without disabilities. It is intended to represent the Society for Neuroadaptive Technology [1] and to support the communication between this society and BCI researchers. The workshop will conclude with a live demonstration of M(eye)ndtris [4], a neuroadaptive version of Tetris which will be demonstrated with different EEG systems, including dry electrodes.

 WS 12: Neurofeedback during Artistic Expression as Therapy

Stephanie Scott, Colorado State University
Chuck Anderson, Colorado State University
Grace Leslie, MIT
Juliet King, Indiana University School of Medicine
Rosa Mikeal Martey, Colorado State University

This project explores the relationship between EEG and painting to determine whether neural oscillations can be modified as a result of the creative process. It investigates the existing relationships between art, science and technology when applied to the medium of painting, and examines what EEG band modifications can be implemented towards existing integrative efforts between neurofeedback technologies and art applications. Conceptually, these efforts are designed to promote collaboration, artistic self-awareness, rehabilitation and recovery, through the integration of a responsive closed neurofeedback loop during the process of painting. Other forms of artistic expression will be included, such as music, depending on the interests of workshop collaborators and attendees.

 WS 16: Unsupervised Learning for BCIs

Michael Tangermann, University of Freiburg
David Hübner, University of Freiburg
Pieter-Jan Kindermans, Google
Serafeim Perdikis, EPFL

The goals of this workshop are manifold. Different talks aim at providing an overview of state-of-the-art methods in unsupervised learning and their underlying principles. This should foster the combination of different unsupervised learning principles by machine learning researchers. It should also help BCI practitioners to identify scenarios in which unsupervised learning might be beneficial. Additionally, we want to identify reasons why unsupervised methods are rarely used by BCI practitioners and how the adoption can be accelerated.

 WS 20: Perception of Sensation Restored through Neural Interfaces

Jennifer Collinger, University of Pittsburgh
Dustin Tyler, Case Western Reserve University
Luke Bashford, California Institute of Technology
Rob Gaunt, University of Pittsburgh
Tucker Tomlinson, Northwestern University
Sliman Bensmaia, University of Chicago
David Caldwell, University of Washington

This workshop seeks to highlight current work related to the restoration of somatosensation through neural interfaces. Specifically, we will focus on how electrically-evoked sensations through peripheral and cortical neural interfaces are perceived by human subjects. What do they feel like, and why? The ultimate goal of restored somatosensation is to reproduce natural and useful feedback. We will discuss progress towards that goal and limitations with currently available technology. We will discuss how fundamental neuroscience and emerging technologies can be used to inform the development of biomimetic neuroprosthetics.

WS 21: From the lab into the wild: shaping methods and technologies for large-scale BCI research

Matthias Hohmann, Max Planck Institute for Intelligent Systems
Moritz Grosse-Wentrup, Ludwig Maximilians Universität München
Tim Mullen, Intheon
Conor Russomanno, Open BCI
AJ Keller, Push the World LLC
Alexandre Barachant, Grenoble
Vinay Jayaram, Max Planck Institute for Intelligent Systems

This workshop will feature the following technologies:

  • Cloud-based, real-time signal processing
  • Low-cost, wireless EEG hardware
  • Automated signal quality checking
  • MOABB: A benchmarking tool for systematic evaluation and ranking of BCI algorithms
  • An iOS prototype application for unsupervised, longitudinal EEG studies

During the group discussion, attendees will have the opportunity to identify potential features for future versions and evaluate them based on their relevance to the BCI community. The results will be discussed and incorporated into future releases. Our goal is to enable the community to conduct large-scale BCI studies by actively shaping the development process of the presented technologies together.

 WS 24: Standards for Neurotechnologies and Brain-Machine Interfacing

Ricardo Chavarriaga, Ecole Polytechnique Fédérale de Lausanne 
Walter Besio, University of Rhode Island
Carole Carey, IEEE EMBC
José Contreras-Vidal, U. Houston (to be confirmed)
Tim Mullen, Intheon
Ander Ramos-Murguialday, Tecnalia, Univertity of Tübingen

The field of Brain-Machine Interfacing (BMI) is going through a very exciting period where the state-of-the-art in research is currently being tested on its intended end-users.  This translation from research prototypes to viable clinical or consumer solutions entails multiple challenges. Furthermore, the possibility of deploying and commercializing BMI-based solutions requires researchers, manufacturers, and regulatory agencies to ensure these devices comply with well-defined criteria on their safety and effectiveness. In consequence, there is an increased interest on development of appropriate standards for BMI systems. Such endeavor is not trivial and requires all stakeholders to join efforts to identify priority areas that require standardization, and to devise incentives for adopting these standards early on at the development process. This workshop aims at discussing these topics and identify important elements to consider for proper standardization of both clinical and consumer applications. This workshop is technically sponsored by the IEEE Industry connections group on neurotechnologies and the IEEE Brain Initiative. The workshop will be composed of invited presentations (15 min) and short spotlight presentations (5 min) from the attendees, complemented with group discussions. We intend to generate a clear picture of current challenges for standardization of neurotechnologies and possible strategies to overcome them.

Thank you to the 2018 BCI Meeting sponsors