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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.
BI'19 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. BI'19 encourages submissions that explore how advanced computing, machine learning and AI technologies are applied to and make a difference in various large-scale brain studies and their applications. The BI'19 will also encourages submissions of new experimental methods, such as 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 research creates and implements various tools to analyze all the data and establish a more comprehensive 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'19 welcomes paper submissions (full paper and abstract submissions). Both research and application papers are solicited. All submitted papers will be reviewed on the basis of technical quality, relevance, significance and clarity. Accepted full papers will be included in the proceedings by Springer LNCS/LNAI.
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