Brain-inspired Cognitive Intelligence Lab
Institute of Automation, Chinese Academy of Sciences
Current research directions of the Brain-inspired Cognitive Intelligence Lab include but are not limited to:
Linked Brain Data (LBD) is an effort for extracting, integrating, linking and analyzing multi-modal Brain and Neuroscience data and knowledge from multiple scales and multiple data sources (mainly from Web-accessible resources). It provides services for Brain and neuroscience knowledge extraction, structured
data representation, integration, visualization, analysis, semantic search and reasoning. LBD is proud to present the association graph on various cognitive functions, brain diseases and their relationships to brain building blocks at multiple scales. In addition, LBD not only contains textual knowledge about the brain, but also provide visualized structures of brain building blocks at multiple scales.
Brain-inspired Cognitive Intelligence Engine (BrainCog) is a brain-inspired neural network based platform for realizing Brain-inspired Artificial Intelligence, and simulating the cognitive brains of different animal species at multiple scales. The ultimate goal and long term efforts of BrainCog is to provide a comprehensive theory and systems to decode the mechanisms and principles of human intelligence and its evolution, and develop artificial brains for brain-inspired conscious living becomings for the future human-AI symbiotic society.
BrainBo is a series of cognitive robotics with a CASIA brain (a multi-scale brain simulator developed at the Institute of Automation, Chinese Academy of Sciences). The CASIA brain is the core of BrainBo for coordinating its various cognitive behaviors, including but not limited to multi-modal sensation and perception (vision, audition, touch, etc.), language, prediction, reasoning, decision making, etc. Whenever a Brainbo is performing a cognitive task, multiple regions of the CASIA brain in Brainbo are coordinating with each other to fulfill the task.