Brain and Autonomous Intelligent Robots Lab
School of Systems Science
Beijing Normal University

Brain, as an intelligent solution for complex environments, is sculpted by nature through the evolutionary process. Considering brain as an example of intelligent systems, we reveal possible computational mechanisms underlying cognition functions such as learning, memory and decision making, by analyzing data from neuroscience experiments, mathematical modeling as well as computer simulations, in order to develop theories and brain-inspired algorithms for machine intelligence.

Research Areas

Neural signal processing, Computational neuroscience, Neurorobotics

Lab Members
Faculty
Postdoc
Research Assistant
PhD Student
Master Student
Undergraduate Student
Alumni
Open Positions

Open positions of Postdoc and graduate student are available for highly motivated candidates with background in information science, physical science, systems science and computational neuroscience. Contact

International Journal Papers

International Conference Papers

Domestic Journal Papers