* KEYNOTE SPEAKERS *
Wang Professor of Cognitive and Neural Systems
Professor Emeritus of Mathematics & Statistics, Psychological & Brain Sciences, and Biomedical Engineering
Founding Chairman, Department of Cognitive and Neural Systems, (http://cns.bu.edu)
Founder and Director, Center for Adaptive Systems (http://cns.bu.edu/about/cas.html)
Founding Director, Center of Excellence for Learning in Education, Science, and Technology (CELEST)
Founding President, International Neural Network Society (http://www.inns.org/)
Founding Editor-In-Chief, Neural Networks (http://www.journals.elsevier.com/neural-networks/)
Founder and General Chairman, International Conference on Cognitive and Neural Systems (ICCNS), 1997-2013 (http://cns.bu.edu/cns-meeting/conference.html)
PhD, Mathematics, Rockefeller University
Departments of Mathematics & Statistics, Psychological & Brain Sciences, and Biomedical Engineering
Boston University, Boston, Massachusetts, USA
Title: Explainable and Reliable AI and Autonomous Adaptive Intelligence: Deep Learning, Adaptive Resonance, and Models of Perception, Emotion and Action
Leslie S Smith
Department of Computing Science and Mathematics
University of Stirling, Stirling, Scotland, UK
Title: Effective sharing of neuroscience datasets: what are the problems?
About the Conference
The Brain Informatics (BI) conference series has established itself as the world's premier research forum on Brain Informatics, which is an emerging interdisciplinary and multidisciplinary research field with joint efforts from neuroscience, cognitive science, medicine and life sciences, data science, artificial intelligence, neuroimaging technologies, and information and communication technologies.
The 13th International Conference on Brain Informatics (BI2020) 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.
The theme of BI2020 is: Brain Informatics in the Virtual World.
Topics & Areas
The BI2020 solicits high-quality original research and application papers (both full paper and abstract submissions). Relevant topics include but are not limited to:
- 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-Machine Intelligence and Brain-Inspired Computing