Meeting of Global Current and Emerging Brain Initiatives
October 9, 2018; Room 2F Fountain
The IEEE SMC Society and the IEEE President, James Jefferies, will host a special meeting of global Brain Initiative leaders from Japan, China, US (NSF and NIH), Korea, Australia, New Zealand, Europe (HBP), IEEE, and other groups working on large-scale multi-year brain projects. The meeting will also be attended by the president of the International Neuroethics Society.
You can download here the program (pdf)
Michael Smith (Chair) 2018 IEEE SMC Meeting of Global Current and Emerging Brain Initiatives IEEE, as a new participant, welcomes collaborative discussions with other global Brain Initiatives to better align and integrate IEEE’s brain efforts with other existing brain efforts. IEEE is a global technical community of 420,000+ professionals across multiple technology domains, many of whom are already active in these global brain projects. The topics discussed at this meeting are driven by input from the global Brain Initiatives representatives, and we hope these discussions will support the efforts of the Kavli Foundation and others to establish an International Brain Initiative. Topics include the current status of global Brain Initiatives and the International Brain Initiative, future collaboration and cooperation opportunities with each other, commercialization and standardization, neuroethics, and data sharing. We will also highlight the IEEE Brain Initiative and the brain research and neurotechnology efforts that are happening across IEEE. This meeting will be held during the IEEE SMC 2018 8th Workshop on Brain-Machine Interface (BMI) Systems, October 8-9, 2018 as part of the program of SMC 2018 – the flagship annual conference of the IEEE Systems, Man, and Cybernetics Society. This will be IEEE’s first collaborative meeting with global Brain Initiative leaders. This meeting, hosted by IEEE, is open to all. Below is the preliminary agenda for topics to be discussed as suggested by the global Brain Initiatives representatives and others: All stakeholders from academic, funding agencies – both public and private, industry, and others are encouraged to attend this meeting to ensure the success of such endeavors. For more information or questions, please contact Dr. Michael H. Smith , Chair of the IEEE SMC BMI Workshop.
Jim Jefferies, IEEE President & CEO
Nick B. Langhals, Program Director, National Inst Neurological Disorders & Stroke (NIH/NINDS), USA James Deshler, Deputy Division Director, Division of Biological Infrastructure, NSF, USA Mitsuo Kawato, ATR, Brain Information Communication Research Group, Kyoto, Japan Andrzej Cichocki, Laboratory Head and Professor, SKOLTECH, Russia Bo XU, Member, Working Group, China Brain Project, Chinese Academy of Sciences Jan Bjaalie, Leader, Neuroinformatics Platform, EU Human Brain Project Wlodzislaw Duch, Director, Neurocognitive Laboratory, Poland Jeong-woo Sohn, Member, Working group, Korea Brain Initiative Institute Sharath Sriram, Member, Executive Committee, Australian Brain Alliance Tiago H. Falk, INRS-EMT, University of Quebec, Canada Yingxu Wang, Hotchkiss Brain Institute, University of Calgary, Canada Cliff Abraham, Co-Director, Brain Research New Zealand Peter Thorn, Co-Director, Brain Research New Zealand Henry T. (Hank) Greely, President, International Neuroethics Society Randy Schekman, Advisory Council Chair, Aligning Science Across Parkinson's Initiaitve Dimitar Filev, Ford Research & Innovation Center, Ford Motor Company Ljiljana Trajkovic, Director-Elect, IEEE Edward Tunstel, President, IEEE Systems, Man, and Cybernetics Society Paul Sajda (Moderator), Chair, IEEE Brain Initiative Ricardo Chavarriaga, Chair, IEEE group on Standards for Neurotechnology Konstantinos Karachalios, Managing Director, IEEE Standards Association
Michael Smith (Chair) 2018 IEEE SMC Meeting of Global Current and Emerging Brain Initiatives
IEEE, as a new participant, welcomes collaborative discussions with other global Brain Initiatives to better align and integrate IEEE’s brain efforts with other existing brain efforts. IEEE is a global technical community of 420,000+ professionals across multiple technology domains, many of whom are already active in these global brain projects.
The topics discussed at this meeting are driven by input from the global Brain Initiatives representatives, and we hope these discussions will support the efforts of the Kavli Foundation and others to establish an International Brain Initiative. Topics include the current status of global Brain Initiatives and the International Brain Initiative, future collaboration and cooperation opportunities with each other, commercialization and standardization, neuroethics, and data sharing. We will also highlight the IEEE Brain Initiative and the brain research and neurotechnology efforts that are happening across IEEE.
This meeting will be held during the IEEE SMC 2018 8th Workshop on Brain-Machine Interface (BMI) Systems, October 8-9, 2018 as part of the program of SMC 2018 – the flagship annual conference of the IEEE Systems, Man, and Cybernetics Society. This will be IEEE’s first collaborative meeting with global Brain Initiative leaders.
This meeting, hosted by IEEE, is open to all. Below is the preliminary agenda for topics to be discussed as suggested by the global Brain Initiatives representatives and others:
All stakeholders from academic, funding agencies – both public and private, industry, and others are encouraged to attend this meeting to ensure the success of such endeavors. For more information or questions, please contact Dr. Michael H. Smith , Chair of the IEEE SMC BMI Workshop.
BMI Workshop Invited Speakers
Director of Brain Information Communication Research Laboratory Group,
Title: Brain science demonstrates consciousness as a key for future AI
Mitsuo Kawato received a B.S. degree in physics from Tokyo University in 1976 and M.E. and Ph.D. degrees in biophysical engineering from Osaka University in 1981. From 1981 to 1988, he was a faculty member and lecturer at Osaka University. From 1988, he was a senior researcher and then a supervisor in ATR. Since 2003, he has been Director of ATR Computational Neuroscience Laboratories. Since 2004, he has been an ATR Fellow. In 2010, he became Director of ATR Brain Information Communication Research Laboratories. In 2018, he was jointly appointed as a Special Advisor, RIKEN Center for Advanced Intelligence Project (AIP).
For the last fifteen years he has been working in computational neuroscience and neural network modeling. He published about 250 papers, reviews and books. Research topics include decoded neurofeedback as an experimental tool to manipulate spatiotemporal brain activity patterns, rs-fcMRI based biomarkers of mental disorder, advanced fMRI neurofeedback therapy, simulation study of dendritic spines, feedback-error-learning model and its applications to industrial robot manipulators, movement trajectory formation, bi-directional theory for interactions between cortical areas, cerebellar internal models, and teaching by demonstration for robots.
Center for Computational and Data-Intensive Science and Engineering
Title: Brain Computer Interface and Recognition of Human Emotions Using Multiway Component Analysis
Andrzej Cichocki received the M.Sc. (with honors), Ph.D. and Dr.Sc. (Habilitation) degrees, all in electrical engineering from Warsaw University of Technology (Poland). He spent several years at University Erlangen (Germany) as an Alexander-von-Humboldt Research Fellow and Guest Professor. He was a Senior Team Leader and Head of the laboratory for Advanced Brain Signal Processing, at RIKEN Brain Science Institute (Japan) and now he is a Professor in the Skolkovo Institute of Science and Technology - SKOLTECH (Russia). He is author of more than 500 technical journal papers and 5 monographs in English (two of them translated to Chinese). He served as Associated Editor of, IEEE Trans. on Signals Processing, IEEE Trans. on Neural Networks and Learning Systems, IEEE Trans on Cybernetics, Journal of Neuroscience Methods and he was as founding Editor in Chief for Journal Computational Intelligence and Neuroscience. Currently, his research focus on multiway blind source separation, tensor decompositions, tensor networks for big data analytics, and Brain Computer Interface. His publications currently report over 36,000 citations according to Google Scholar, with an h-index of 82. He is Fellow of the IEEE since 2013.
Jan G. Bjaalie
Institute of Basic Medical Sciences, University of Oslo, Norway; EU Human Brain Project
Title: The EU Human Brain Project: advancing knowledge in neuroscience, computing, and brain-related medicine
Jan Bjaalie, M.D., Ph.D. is professor at the Institute of Basic Medical Sciences, University of Oslo, and leader of the Neuroinformatics Platform of the EU Human Brain Project. He was founding Executive Director of the International Neuroinformatics Coordinating Facility (INCF) and is currently head of the INCF Norwegian Node and member of the INCF Council for Training, Science, and Infrastructure. His research group has studied wiring patterns in the brain and developed data systems for organizing and managing heterogeneous neuroscience research data by use of a new generation of digital brain atlases. The group develops software and workflows for analysis of data integrated in the atlases (“Google maps of the brain”). Jan Bjaalie is Chief editor of Frontiers in Neuroinformatics and Section editor of Brain Structure and Function.
Tomasz (Tomek) M Rutkowski
Title: Multisensory BCIs in applications for robotics, VR/AR, art and dementia monitoring
Tomasz (Tomek) M Rutkowski is a researcher and educator born in Poland. He lives in Japan since 1998 and focuses his professional activity on computational neuroscience (neurotechnology), multi-sensory (multimedia) applications, artificial intelligence and intelligence augmentation. He developed an award winning tactile (haptic) brain-computer interface and he is also active in multi-sensory (auditory, visual, tactile, etc.) media design. Tomek contributed also to a design of a direct brain-music interface with Prof. Furukawa’s team (Tokyo National University of Fine Arts and Music) and he has been involved in a research on brain correlates of creativity together with Prof. Okada (The University of Tokyo). Currently he is an AI research scientist at RIKEN AIP in Tokyo where his research has been focused on human intelligence augmentation (IA) for dementia prevention and a passive BCI development with support of deep learning techniques. Here you can find a full publication list.
g.tec medical engineering GmbH
Title: Current and future applications of BCIs
Title: How to run a real-time BCI application
Christoph Guger is the founder and CEO of g.tec medical engineering GmbH. He studied Biomedical Engineering at the Technical University of Graz, Austria and at the John Hopkins University in Baltimore, USA. During his studies, he concentrated on BCI systems and developed many of the early foundations for bio-signal acquisition and processing in real-time. g.tec produces and develops BCIs that help disabled people communicate or control their environments by their thoughts, regain motor functions after a stroke, and achieve other goals. The products and research activities have been widely presented in peer-reviewed research publications, demonstrating the high quality of g.tec’s tools and methods. He is running several international BCI research projects.
Asahikawa Medical University
Title: Non-invasive and invasive Brain-Computer Interfaces for medical application and research projects
Dr. Kamada is a neurosurgeon at the Asahikawa Medical University in Japan. He is leading a team of medical and scientific members and performs studies with the EEG, fMRI and ECoG in epilepsy, tumor and stroke patients. He developed techniques like high-gamma mapping to identify the eloquent cortex or mapping whole cortical networks. He has international collaborations in the USA and Europe in the BMI field and performs many real-time experiments in this domain. Contact him at firstname.lastname@example.org.
Columbia University, IEEE Brain Initiative
Title: BCIs for labeling our environment
Paul Sajda is a Professor of Biomedical Engineering, Electrical Engineering and Radiology (Physics) at Columbia University. He is also a Member of Columbia’s Data Science Institute. He received a BS in electrical engineering from MIT in 1989 and an MSE and PhD in bioengineering from the University of Pennsylvania, in 1992 and 1994, respectively. Professor Sajda is interested in what happens in our brains when we make a rapid decision and, conversely, what processes and representations in our brains drive our underlying preferences and choices, particularly when we are under time pressure. His work in understanding the basic principles of rapid decision-making in the human brain relies on measuring human subject behavior simultaneously with cognitive and physiological state. Important in his approach is his use of machine learning and data analytics to fuse these measurements for predicting behavior and infer brain responses to stimuli. Professor Sajda applies the basic principles he uncovers to construct real-time brain-computer interfaces that are aimed at improving interactions between humans and machines. He is also applying his methodology to understand how deficits in rapid decision-making may underlie and be diagnostic of many types of psychiatric diseases and mental illnesses. Professor Sajda is a co-founder of several neurotechnology companies and works closely with a range of scientists and engineers, including neuroscientists, psychologists, computer scientists, and clinicians. He is a fellow of the IEEE, AMBIE and AAAS and Chair of the IEEE Brain Initiative. .
SuEV-R03-T06: Tutorial 6: How to Improve Performance in Brain-Computer/Machine Interface
Sunday, October 7, 15:20-17:20, Room: 2F Gibraltar
- Session chairs: Sung Chan Jun, Minkyu Ahn
1) Performance variation and illiteracy of BCI/BMI, 2) Correlates of performance and prescreening approaches, 3) Zero-training approaches, 4) Achieving the reliable BCI system. Lastly, future outlook as well as R&D trends of BCI/BMI are discussed.
Panel: Standards for Neurotechnologies
October 8th, 16h-18h, Crystal room
The IEEE Industry Connections group on neurotechnologies, supported by IEEE Standards Association and the IEEE Brain Initiative, is working to identify current needs and challenges for standardisation of neurotechnologies. This panel will advance discussions on this topic among representatives from industry, academia, technologists and other stakeholders.
The field of Brain-Machine Interfacing (BMI) is going through a very exciting period where numerous emergent neurotechnologies are exploiting neural signals for a range of practical applications, both clinical and non-clinical. As research with these state-of-the-art technologies continues to improve our understanding of the mammalian nervous system, such systems are currently being tested with their intended end-users in clinical and real-world environments. This translation from research prototypes to viable clinical or consumer products entails multiple challenges – both technical and commercial.
Broadly speaking, the proliferation of biosensing modalities, end effectors, applications, and prospective user populations has created the need for a more interoperable ecosystem of neurotechnologies, including traditional and novel BMIs. Furthermore, the possibility of deploying and commercialising BMI-based solutions with human users requires researchers, manufacturers, and regulatory agencies to ensure these devices comply with well-defined criteria for their safety and effectiveness. Consequently, there is an increased interest in development of appropriate standards for BMI systems and related neurotechnologies.
- Ricardo Chavarriaga (Chair) EPFL, Switzerland
- Moria Bittmann. NIH/NINDS, USA
- Konstantinos Karachalios, IEEE Standards Association, USA
- Joel Libove, Furaxa, USA
- Emil Hewage, Cambridge Bio-Augmentation Systems (CBAS), UK
- Carole Carey, IEEE EMBS
IEEE P2725.1™ Standards Working Group
Monday, October 8, 11:50 - 13:20, Room: TBD
- Chair: Joel Libove, Furaxa, USA
Low energy microwaves are a promising emerging modality for structural, vascular and functional brain imaging and BMI, and have the potential to be safer, and far smaller and less expensive than fMRI, and to image functional and vascular activity deeper in the brain than is possible with fNIR. This standard specifies the areas of intended usage, electromagnetic, electrical and mechanical safety and electromagnetic compatibility (EMC) requirements for both clinical medical imaging and fully-wearable consumer BMI devices. WG members, and prospective WG members are all welcome at this meeting.
Wednesday, October 10, 11:30-13:00, Room: 2F Fountain
The goal of this panel of funding agencies and leaders in brain research is to address future research opportunities and funding opportunities in brain research and in the development of neurotechnologies. By identifying such opportunities, researchers will be better able to focus on successful clinical translation and commercial application of neurotechnologies in real-world situations. Questions and interactions between the panelists and the audience is highly encouraged.
Wednesday, October 10, 13:00-14:00, Room: 2F Fountain
The goal of this panel of experts on the design and development of new neurotechnologies is to address current challenges and hot topics in brain research. By identifying the challenges confronting the successful clinical translation and commercial application of neurotechnologies (including BMI/BCI systems) in real-world situations, this panel will identify opportunities for SMC and other efforts to dramatically improve the performance and benefits of such systems for the patients and users.
BMI Panel III: Merging Minds and Machines: Integrating AI with Current Brain Research and Future Neurotechnologies
Wednesday, October 10, 14:00-15:00, Room: Fountain 2F
Recently, there has been a great deal of discussion and research on integrating AI with current brain research and in the development of new neurotechnologies. This can be seen by recent developments in deep learning and machine intelligence. Issues such as the following will be discussed:
BMI Workshop Closing Session, Posters, and Reception
Wednesday, October 10, 15:10 – 17:00, Room: 2F Fountain
- 15:10-16:00 Open discussion with the audience and invited guests on: “What Have We Learned, Where Do We Go From Here?”
This is the final session of the workshop, in which invited guests and audience members share insights gained regarding the as-presented state-of-the-art brain research and neurotechnologies in this Workshop and Global Brain initiative meeting. Discussions will include projections as to future advances in this field.
- 16:00-17:00 Poster session and networking combined with a reception. All are welcome
Monday, October 8, 9:30 - 11:30:
|2F R01||MoAM-R01||BMI H12+H30: Human-Machine Systems and Cognitive Cybernetics|
|2F R02||MoAM-R02||BMI H23: Novel Technical Approaches to Improving Functional Diagnosis and Prognosis|
|2F R03||MoAM-R03||BMI: Tools, Metrics, and Databases|
|3F R04||MoAM-R04||BMI: Invasive BCIs, ECoG analysis|
|3F R05||MoAM-R05||BMI: Multimodal HMIs|
Monday, October 8, 13:30 - 15:30:
|2F R01||MoPM-R01||BMI: Novel BCI/HCI Paradigms|
|2F R02||MoPM-R02||BMI H29: BCI and Robotics|
|2F R03||MoPM-R03||BMI H25: Passive BCIs|
|3F R04||MoPM-R04||BMI H26: Deciphering Natural Cortical Representations for BMIs|
|3F R05||MoPM-R05||BMI H28: Real World Applications (SSVEP and Spellers)|
Monday, October 8, 16:00 - 18:000:
|2F R01||MoEV-R01||BMI H28+H30: Brain-Inspired Systems and Unconventional BCI Applications|
|2F R02||MoEV-R02||BMI: BCIs for Neurorehab and Body Augmentation|
|2F R03||MoEV-R03||BMI H27: Deep Learning for Brain-Machine Interface|
|3F R04||MoEV-R04||BMI: Real World Applications (Automotive and Exoskeletons)|
|3F R05||MoEV-R05||BMI: BCI Modelling, Analysis, and Performance|
Call for papers
Submissions to the BMI workshops are done through the main conference SMC submission page and papers follow the due reviewing process. To ensure that your paper gets proplerly assigned to the BMI session, be sure to select the appropriate session at submission (BMI workshop sessions are H23 to H31). Please, do not hesitate in informing the workshop chairs about your submission via email.
Papers should be concise, but contain sufficient detail and references to allow critical review. Please click here to download the call for papers. Accepted papers that are not physically presented at SMC 2018 will be excluded from the IEEE proceedings.