Research Interests

I am generally interested in Brain-inspired Artificial Intelligence, Brain Simulation, Brain-inspired Cognitive Robotics, Knowledge Representation and Reasoning. My current research interests focus on the following directions:

  • Cognitive Brain Modeling and Simulation.
  • Brain-inspired Cognitive Computation Models.
  • Brain-inspired Neural Networks.
  • Cognitive and Neural Robotics.
  • knowledge representation, retrieval and reasoning.

The goal for my research on Brain-inspired Intelligence is to propose and implement a Cognitive Computation Model for Brain-inspired Artificial General Intelligence, which is the "brain" for future intelligent living systems. Please visit my Publication page for more details.


Brain-inspired Cognitive Engine (BrainCog) is a brain-inspired neural network based platform for simulating the cognitive brains of different animal species at multiple scales and realizing brain-inspired Artificial Intelligence. 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 machines in future human-machine 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, self-consciousness, etc. Multiple regions of the CASIA brain in Brainbo coordinat with each other to realize various cognitive functions.The goal for BrainBo is towards robots with general intelligence.   Linked Brain Data (LBD) is an effort for extracting, integrating, linking and analyzing Brain and Neuroscience data and knowledge from multiple scale and multiple data sources and support comprehensive understandings of the brain. LBD is proud to present the association graph among various cognitive functions, brain diseases and their relationships to brain building blocks at multiple scales (i.e. gene, protein,neural transmitter, neuron, brain region). This association graph provide inspirations for future Neuroscience and Brain-inspired Intelligence research.
Recent Projects
  • Brain-inspired Cognitive Engine (2013.6-) [Principle Investigator]
  • Linked Brain Data : A large-scale, multi-modal brain knowledge base (2013.7 -) [Principle Investigator]
  • Brain-inspired Cognitive Computation Models (2015.6-2017.6) [Principle Investigator]
  • Visual Pathway Computational Modeling and Its Applications to Unmanned Aerial Vehicle (2015.1-2016.12) [Principle Investigator]

What's New!

  • BrainBo is realeased. It is a series of Cognitive robotics with a CASIA Brain. The first release is based on a NAO robot. The video shows the cognitive ability of BrainBo on inductive reasoning, object recognition and interpretation.
  • Linked Brain Data (LND) Platform has been released. Linked Brain Data (LBD) is an effort for extracting and linking Brain and Neuroscience data and knowledge from multiple scale and multiple data sources together. The LBD platform provides services for Brain and Neuroscience knowledge extraction, structured data representation, integration, visualization, analysis, semantic search and reasoning over the integrated Brain and Neuroscience data.