The quest for brain research is to uncover the nature of brain cognition, consciousness, and intelligence. Artificial Intelligence (AI) is committed to the realization of machine-borne intelligence. The development of these two fields is undergoing a continuous trend of crossvergence and convergence. To bring together active researchers and practitioners in the frontiers of Artificial Intelligence (AI) and Human Brain Research for the presentation of original research results, and provide an opportunity for the exchange and dissemination of innovative research ideas relevant to both fields, we propose this workshop, called Human Brain and Artificial Intelligence (HBAI). HBAI will contribute to answering the following two questions: How can AI techniques help to human brain research (brain computing)? And, how can human brain research inspire the study of AI (brain-inspired computing)? The discussion on the workshop will clearly be great helpful to brain and cognitive science, neural computation and artificial general intelligence, brain-machine interface, data science, brain science+, AI, and their applications.
The development of new technologies for recording brain structure and function has led to a proliferation of massive data sets ('big data') recording neural processes associated with human cognition. AI has played an increasingly important role in the analysis of sequence, structure and functional patterns or models from the big data about the human brain. Computational brain science aims to: 1) mathematically model, quantitatively analyze, and mechanistically understand human brain; 2) develop theory, algorithms and software for building computer systems that can perform human-brain-like functions. The main outcome of this workshop is to present latest results in this exciting area at the intersection of the human brain research and AI.
AI approaches can revolutionize new age of brain informatics and computational brain science with discoveries in human brain-related health, diseases, social behavior, neuroscience, brain connectivity, brain intelligence paradigms, cognitive information, etc. Human brain research provides opportunities for developing novel AI methods. Some of the grand challenges in human brain research include global mental health and neuroscience, brain wellness and aging, cognitive development, brain energetics in health and diseases, neuroimaging, models of disorders, as well as applications in neuro-informatics, brain computer/machine Interfaces, etc.
This 1-day workshop lets researchers present and discuss their research, share their knowledge and experiences, and discuss the current state of the art and the future improvements to advance the intelligent practice of computational brain.
We encourage papers with important new insights and experiences on artificial intelligence from the modeling and simulation of human brain systems. Those contributions should shed light on one of the two questions mentioned above. Topics of interest lie at the intersection of AI and computational brain science. They include, but are not limited to, the following inter-linked topics:
|Artificial Intelligence :
- Deep learning and representation learning
- Graph theory and graph mining
- Constraints, satisfiability and search
- Knowledge representation, reasoning and logic
- Machine learning and data mining
- Knowledge graph and applications
- Agent-based and multi-agent systems
- Web and knowledge-based information systems
- Natural language processing
- Image processing and analysis
- Brain-based Learning
- Implicit Cognition and Learning
- Brain-machine Interface
|Human Brain Research:
- Hot topics in human brain-related health/diseases/social behavior
- Brain development and aging
- Brain connectivity and network modeling
- Brain intelligence paradigms
- Neuroinformatics; Neuroimaging
- Learning and memory
- Genetic and circuit mechanisms
- Cognition and behavior
- Brain health data analysis and statistics
- Perception (spatial, temporal) and imagery
- Neuroimmunology; Sleep behavior
- Deep brain stimulation
- Neuron modulation