THE 10TH ANNIVERSARY OF BRAIN INFORMATICS (BI) :Informatics Perspective of Investigation on the Brain and Mind
Brain Informatics (BI) started the exploration as a research field with the vision of investigating the brain from the informatics perspective. Firstly, Brain Informatics combines the efforts of Cognitive Science, Neuroscience, Machine Learning, Big Data Analytics, AI and ICT to study the brain as a general information processing system. Secondly, new measurements and informatics equipment, tools and platforms are causing impending revolution to understand the brain. Thirdly, staring from its proposal as a field, Brain Informatics is with the goal of inspiring future Artificial Intelligence, especially Web Intelligence.

History of the BI Conference Series

The series of Brain Informatics conferences started with the WICI International Workshop on Web Intelligence meets Brain Informatics, held at Beijing, China in 2006.  The 2nd, 3rd, 4th and 5th conferences of Brain Informatics 2009, 2010, 2011 and 2012 were held in Beijing China, Toronto Canada, Lanzhou China, and Macau China respectively. Since 2013, “Health” was added in the conference title with an emphasis on real-world applications of brain research in human health and well-being and BHI’13, BIH’14 and BIH’15, BIH’16 was held at Maebashi Japan, Warsaw Poland, London UK, Omaha, USA respectively. BI’17 in Beijing is co-hosted by Beijing Advanced Innovation Center for Future Internet Technology/BJUT and Institute of Automation/Chinese Academy of Sciences, and is officially sponsored by Web Intelligence Consortium (WIC), WIC Technical Committee on Brain Informatics, International Neural Network Society, IEEE Computational Intelligence Society, Springer-Nature and Springer LNCS/LNAI, Institute of Automation, Chinese Academy of Sciences, Beijing University of Technology, and Beijing Advanced Innovation Center for Future Internet Technology.

BI 2017, the 10th aneversary and the NEXT 10 Years

BI’17 addresses the computational, cognitive, physiological, biological, physical, ecological and social perspectives of brain informatics, as well as topics relating to mental health and well-being. It also welcomes emerging information technologies, including but not limited to Internet/Web of Things (IoT/WoT), cloud computing, big data analytics and interactive knowledge discovery related to brain research. BI’17 also encourages submissions that explore how advanced computing technologies are applied to and make a difference in various large-scale brain studies and their applications.

Informatics-enabled studies are transforming brain science. New methodologies enhance human interpretive powers when dealing with big data sets increasingly derived from advanced neuro-imaging technologies, including fMRI, PET, MEG, EEG and fNIRS, as well as from other sources like eye-tracking and from wearable, portable, micro and nano devices. New experimental methods, such as in toto imaging, deep tissue imaging, opto-genetics and dense-electrode recording are generating massive amounts of brain data at very fine spatial and temporal resolutions. These technologies allow measuring, modeling, managing and mining of multiple forms of big brain data. Brain informatics techniques for analyzing all the data will help achieve a better understanding of human thought, memory, learning, decision-making, emotion, consciousness and social behaviors. These methods and related studies will also assist in building brain-inspired intelligence, brain-inspired computing, human-level wisdom-computing paradigms and technologies, improving the treatment efficacy of mental health and brain disorders.

BI’17 will provide a broad forum that academia, professionals and industry people can exchange their ideas, findings and strategies in utilizing the powers of mammalian brain, especially human brains and man-made networks to create a better world. In the 2017 version of the Brain Informatics conference, we want to argue that brain research is a grand challenge to all the countries, and various scientific communities. Its potential impact not only will help us to understand who we are, and make us a better lives, but also will enable new paradigm shift in the new intelligence era. Hence, the new Brain research needs joint efforts and collaborative research from different countries worldwide. It also calls for interdisciplinary studies to investigate on the brain from various perspectives.

Therefore, the theme of BI’17 will be “Informatics Perspective of Investigation on the Brain and Mind”.

BI 2017 Special Sessions and Workshops [Paper Submission]


April 20 , 2017: Submission deadline for workshop/special session/tutorial proposals
April 30, 2017: Notification of workshop/special session proposal acceptance
May 1, 2017: Submission deadline for full papers
July 20, 2017: Submission deadline for workshop/special session papers (TYPE I) (Extended)
June 20, 2017: Notification of full paper acceptance
July 10, 2017: Camera-ready version submission of accepted papers
July 20, 2017: Submission deadline for abstracts (TYPE II)
July 25, 2017: Notification of workshop/special session paper acceptance (Extended)
July 30, 2017: Notification of abstract acceptance
November 16, 2017: Tutorials, workshops and special sessions
November 17-18, 2017: Main conference


Registration site is opened.

Submission of Workshop and Special Session papers are open until July 20th, 2017.


Track 1: Cognitive and Computational Foundations of Brain Science
Track 2: Human Information Processing Systems
Track 3: Brain Big Data Analytics, Curation and Management
Track 4: Informatics Paradigms for Brain and Mental Health Research
Track 5: Brain-Inspired Intelligence and Computing


Prof. Alan Evans

Alan Evans

James McGill Professor
McGill University, Canada

Prof. Tom Mitchell

Tom Mitchell

E. Fredkin University Professor
Carnegie Mellon University, USA

Title: Neural Correlates of Word, Sentence and Story Comprehension.

Feature Keynotes:

Prof. Yanchao Bi

Yanchao Bi

Beijing Normal University, China

Title: The Cognitive Neural Basis of Object Knowledge

Prof. Adam Ferguson

Adam R. Ferguson,

Associate Professor
University of California, San Francisco, USA

Title: Harnessing large-scale data-sharing to drive discovery and bench-to-bedside translation in traumatic brain injury and spinal cord injury.

Prof. Bin Hu

Bin Hu

Lanzhou University, China

Title: Computational Psychophysiology based Research methodology for Mental Health

Prof. Michael Hawrylycz

Mike Hawrylycz

Allen institute for Brain Science, USA

Title: Multiscale Gene Expression Signatures in the Mammalian Brain in Health and Disease

Prof. Dinggang Shen

Dinggang Shen

University of North Carolina at Chapel Hill, USA

Title: Machine Learning in Medical Imaging Analysis