Meeting of Global Current and Emerging Brain Initiatives

October 9, 2018

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.

Confirmed participants:

  Michael Smith (Chair)
  Jim Jefferies, IEEE President & CEO
  Nick B. Langhals, National Inst Neurological Disorders and Stroke (NIH/NINDS), USA
  Jan Bjaalie, EU Human Brain Project
  Bo XU, China Brain Project, Chinese Academy of Sciences
  Sung-Jin Jeong, Korea Brain Research Institute
  Sharath Sriram, Australian Brain Alliance
  Cliff Abraham, Brain Research New Zealand
  Peter Thorn, Brain Research New Zealand
  Henry T. (Hank) Greely, International Neuroethics Society
  Paul Sajda, Columbia University, USA; Chair IEEE Brain Initiative
  Edward Tunstel, IEEE Systems, Man, and Cybernetics Society
  Konstantinos Karachalios, IEEE Standards Association
  Dimitar Filev, IEEE Systems, Man, and Cybernetics Society
  Ljiljana Trajkovic, IEEE


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:

  1. Status of Global Brain Projects and the International Brain Initiative
  2. IEEE Brain Initiative and Activities
  3. Attracting engineers, scientists, programmers, math/quants, and others to the multi-disciplinary field of neuroscience
  4. Future Collaborations and Cooperation
    1. Among Brain Initiatives, industry, and other stakeholders (e.g., joint proposals)
    2. Among funding agencies (e.g., open process for joint partnerships between funding agencies with other countries)
    3. Ability of performers/researchers to support multiple global initiatives
  5. Translational Neuroscience and Neural Engineering, including Standards Development
  6. Neuroethics
  7. Sharing of brain data
  8. Open Discussion – other Topics

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


Mitsuo Kawato
Director of Brain Information Communication Research Laboratory Group,
ATR, Japan 

Title: Brain science demonstrates consciousness as a key for future AI
The current boom of AI is mainly due to the deep neural networks, which lack generalization capability and requires hundreds of millions of training samples. Human brains, in contrast, exhibits great generalization across different domains, and can learn from a small sample. We hypothesize that consciousness is a key function for this capability. Utilizing a sophisticated brain decoding and real-time fMRI neurofeedback, we provide experimental supports to this hypothesis.

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.


Andrzej Cichocki
Center for Computational and Data-Intensive Science and Engineering
Skoltech, Russia  

Title: “Brain Computer Interface and Recognition of Human Emotions Using Multiway Component Analysis
Recently numerous feature extraction and classification methods have been developed for EEG analysis in various BCI applications and human emotion recognition. However, very few of them studied on exploiting the inter subject information for EEG classification. In this talk we overview tensor decompositions, deep learning and multi-way component analysis approaches and some promising and sophisticated algorithms which can improve BCI performance, especially for relatively small sample size.  The main advantages of the proposed algorithms will be also briefly presented and some open challenging problems will be addressed. Some promising and emerging applications of BCI in rehabilitation and prediction of consciousness recovery in patients with disorder of consciousness will be also discussed.

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.


Christoph Guger
g.tec medical engineering GmbH
Austria

Title: Current and future applications of BCIs
Sunday Oct 8th 12.30-13.00.

Brain-computer interfaces are used for many different applications that range from spelling, cursor control to assessment of brain functions in patients with disorders of consciousness to motor rehabilitation in stroke patients. BCIs use either invasive or non-invasive brain signals and are controlled e.g. with motor imagery, evoked potentials or steady-state evoked potentials. The talk will highlight current and future applications and will explain what can be achieved.

Title: How to run a real-time BCI application
Sunday Oct 8th 13:00-14.00

A real-time EEG based brain-computer interface will be demonstrated to make sure attendees know how to assemble EEG electrodes, inspect the data quality, perform real-time EEG analysis and to calibrate a BCI system. This is the basic requirement for running BCI experiments successfully in the BCI Hackathon.

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.


Panel: Standards for Neurotechnologies

October 8th, 16h-18h, Gibraltar 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.

Invited panelists:

For further information, don't hesitate in contacting the organizer


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.