The 16th International Conference on Brain Informatics (BI 2023)
—Brain Science meets Artificial Intelligence
August 1 - 3, 2023, Hoboken & New York - USA
Full Paper Submission Site
: May 15, 2023
Abstract Submission Site : June 1, 2023
Workshops and Special Sessions Paper Submission Site : May 15, 2023
( Registration: On or before Jun 20, 2023. )
visit: conferences/bi2023/registration site
visit: conferences/bi2023/venue & accomodation
|Keynote Speech: Keynote Speakers (all in person)|
* The History of BI Conference *
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About the Conference
The International Conference on Brain Informatics (BI) series has established itself as the world’s premier research conference on Brain Informatics, which is an emerging interdisciplinary and multidisciplinary research field that combines the efforts of Cognitive Science, Neuroscience, Machine Learning, Data Science, Artificial Intelligence (AI), and Information and Communication Technology (ICT) to explore the main problems that lie in the interplay between human brain studies and informatics research.
The 16th International Conference on Brain Informatics (BI'23) provides a premier international forum to bring together researchers and practitioners from diverse fields for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences on brain Informatics research, brain-inspired technologies and brain/mental health applications.
Topics and Areas
The key theme of the conference is "Brain Science meets Artificial Intelligence".
The BI'23 solicits high-quality original research and application papers (both full paper and abstract submissions). Relevant topics include but are not limited to:
MIT, Massachusetts General Hospital, USA
Profile: Emery Neal Brown is the Warren M. Zapol Professor of Anesthesia at Harvard Medical School and at Massachusetts General Hospital (MGH), and a practicing anesthesiologist at MGH. At MIT he is the Edward Hood Taplin Professor of Medical Engineering and professor of computational neuroscience, the Associate Director of the Institute for Medical Engineering and Science, and the Director of the Harvard–MIT Program in Health Sciences and Technology. Brown is one of only 19 individuals who has been elected to all three branches of the National Academies of Sciences, Engineering, and Medicine, as well as the first African American and the first anesthesiologist to be elected to all three National Academies.
Carnegie Mellon University, USA
Profile: Bin He is the Trustee Professor of Biomedical Engineering, Professor of the Neuroscience Institute, and Professor by courtesy of Electrical and Computer Engineering at Carnegie Mellon University. Dr. He has made significant research and education contributions to the field of neuroengineering and biomedical imaging, including functional biomedical imaging, noninvasive brain-computer interface (BCI), and noninvasive neuromodulation. His pioneering research has helped transforming electroencephalography from a 1-dimensional detection technique to 3-dimensional neuroimaging modality. His lab demonstrated for the first time for humans to fly a drone and control a robotic arm just by thinking about it using a noninvasive BCI. He is an elected Fellow of International Academy of Medical and Biological Engineering (IAMBE), American Institute of Medical and Biological Engineering (AIMBE), Biomedical Engineering Society (BMES), the Institute of Electrical and Electronics Engineers (IEEE), and a member of National Academy of Inventors. Dr. He also served as a Past President of the IEEE Engineering in Medicine and Biology Society, the Editor-in-Chief of IEEE Transactions on Biomedical Engineering from 2013-2018, the Chair of the International Academy of Medical and Biological Engineering from 2018-2021. Dr. He has been a Member of NIH BRAIN Initiative Multi-Council Working Group from 2014-2019.
NIH BRAIN Initiative, USA
Profile: John J. Ngai, Ph.D., is the Director of the NIH’s Brain Research Through Advancing Innovative Neurotechnologies (BRAIN) Initiative. Dr. Ngai earned his bachelor’s degree in chemistry and biology from Pomona College, Claremont, California, and Ph.D. in biology from the California Institute of Technology (Caltech) in Pasadena. He was a postdoctoral researcher at Caltech and at the Columbia University College of Physicians and Surgeons before starting his faculty position at the University of California at Berkeley. During more than 25 years as a Berkeley faculty member, Dr. Ngai has trained 20 undergraduate students, 24 graduate students and 15 postdoctoral fellows in addition to teaching well over 1,000 students in the classroom. His work has led to the publication of more than 70 scientific articles in some of the field’s most prestigious journals and 10 U.S. and international patents. Dr. Ngai has received many awards including from the Sloan Foundation, Pew Charitable Trusts, and McKnight Endowment Fund for Neuroscience. As a faculty member, Dr. Ngai has served as the director of Berkeley’s Neuroscience Graduate Program and Helen Wills Neuroscience Institute. He has also provided extensive service on NIH study sections, councils and steering groups, including as previous co-chair of the NIH BRAIN Initiative Cell Census Consortium Steering Group. Dr. Ngai oversees the long-term strategy and day-to-day operations of the NIH BRAIN Initiative as it strives to revolutionize our understanding of the brain in both health and disease.
Icahn School of Medicine at Mount Sinai, USA
Profile: Helen Mayberg is a neurologist recognized for her neuroimaging studies of brain circuits in depression and their translation to the development of deep brain stimulation as a novel therapeutic for treatment resistant patients. Born and raised in Southern California, she received a BA in Psychobiology from UCLA and a MD from the University of Southern California, then trained in Neurology at Columbia's Neurological Institute in New York and did a research fellowship in nuclear medicine at Johns Hopkins. She had early academic appointments at Johns Hopkins and the University of Texas Health Sciences Center in San Antonio, held the inaugural Sandra Rotman Chair in Neuropsychiatry at the University of Toronto, the first Dorothy C. Fuqua Chair in Psychiatric Imaging and Therapeutics at Emory University and is now the Mount Sinai Professor of Neurotherapeutics at the Icahn School of Medicine where she is founding Director of the Nash Family Center for Advanced Circuit Therapeutics. She is a member of the both the National Academy of Sciences and the National Academy of Medicine as well as the National Academy of Inventors and American Academy of Arts and Sciences.
York University, Canada
Profile: Vinod Goel is a professor of cognitive neuroscience at York University, Toronto, Canada. He completed his PhD in cognitive science at UC-Berkeley, and received postdoctoral training in neuroscience at the NIH (NINDS) and the Wellcome Department of Cognitive Neurology, Institute of Neurology, UCL, UK. He has made significant empirical contributions to our understanding of the roles of prefrontal cortex in real-world problem solving and reasoning, hemispheric asymmetry in prefrontal cortex, and models of rationality, using the methodologies of fMRI and lesion studies. He has most recently completed a book reconstructing the role of rationality in human behavior entitled "Reason and Less: Pursuing Food, Sex, and Politics" (The MIT Press, 2022). His current project is to explore the implications of this work on our understanding of reason and legal responsibility.
Cornell University, USA
Profile: Amy Kuceyeski is an Associate Professor of Mathematics and Neuroscience in Radiology at Weill Cornell Medicine and the Computational Biology Department at Cornell University. She is the director of the Computational Connectomics (CoCo) Laboratory and the Machine Learning in Medicine group at Cornell. Over the past 14 years, she has been working to understand the human brain using quantitative modeling approaches, including machine learning, to map anatomical and physiological characteristics to behavior. Specifically, she is interested in understanding how brains recover from injury so we can devise strategies, possibly via non-invasive neuromodulation, to support natural recovery processes. She also performs research at the intersection of biological and artificial neural networks that aims to understand how human brains process incoming visual information.
NIH NINDS, USA
Profile: Dr. Grace Hwang is a Program Director at the National Institute of Neurological Disorders and Stroke where she manages projects in the Technologies for Neural Recording and Modulation portfolio as part of the BRAIN Initiative. Prior to joining the NIH, Dr. Hwang was a Program Director at the National Science Foundation while based at her home institution, Johns Hopkins University, with appointments in both the Applied Physics Laboratory and the Kavli Neuroscience Discovery Institute. At NSF, she managed the Disability and Rehabilitation Engineering program while also spearheading cross-agency initiatives including the Emerging Frontiers in Research and Innovation's Brain-Inspired Dynamics for Engineering Energy-Efficient Circuits and Artificial Intelligence (BRAID) topic. Her research career at Johns Hopkins spanned neuroscience, artificial intelligence, dynamical systems analysis, neuromodulation, brain-machine interface, and robotics. She served as a Principal Investigator on an NIH BRAIN award to investigate neural stimulation using sonogenetics and on an NSF award to develop a brain-inspired algorithm for multi-agent robotic control.
Paper Submission and Publications
1. 9-12 pages are strongly encouraged for the regular papers including figures and references in Springer LNCS Proceedings format (https://www.springer.com/us/computer-science/lncs/conference-proceedings-guidelines). Over length papers will be charged for 100$ per page. 2. All papers will be peer-reviewed and accepted based on originality, significance of contribution, technical merit, and presentation quality. 3. All papers accepted (and all workshop & special sessions' full-length papers) will be published by Springer as a volume of the Springer-Nature LNAI Brain Informatics Book Series (https://link.springer.com/conference/brain).
Research abstracts are encouraged and will be accepted for presentations in an oral presentation format and/or poster presentation format. Each abstract submission should include the title of the paper and an abstract body within 1500 words. The abstract will not be included in the conference proceedings to be published by Springer.
High-quality BI conference papers will be nominated for a fast-track review and publication at the Brain Informatics Journal, (https://braininformatics.springeropen.com/) an international, peer-reviewed, interdisciplinary Open Access journal published by Springer Nature. Discount or no open access article-processing fee will be charged for BI conference paper authors.
Workshop/special session organizers and BI conference session chairs may consider and can be invited to prepare a book proposal of special topics for possible book publication in the Springer-Nature Brain Informatics & Health Book Series (https://www.springer.com/series/15148), or a special issue at the Brain Informatics Journal.
1. Accepted full papers will be selected to publish in the Brain
Informatics Journal upon revision.
2. Discount or no article-processing fee will be charged for
authors of Brain Informatics conference (https://braininformatics.springeropen.com/).
3. The organizers of Workshops and Special-Sessions are invited to prepare a book proposal based on the topics of the workshop/special session for possible book publication in the Springer-Nature Brain Informatics and Health book series (http://www.springer.com/series/15148).