Liu Bing, Associate Researcher at the Institute of Automation, Chinese Academy of Sciences (CAS). He obtained his Ph.D. in Neurobiology from the Wang Yi Laboratory at the Institute of Biophysics, CAS in 2012. After graduation, he conducted postdoctoral research at the Osborne Lab of the University of Chicago, exploring the efficient encoding and population decoding of visual motion information. Later, he carried out research on implantable brain-computer interfaces at the Carmena Lab of the University of California, Berkeley, and the Lisberger Lab in the Department of Neurobiology at Duke University. In 2023, he joined the Institute of Automation, CAS.

His research focuses on implantable closed-loop brain-computer interfaces in non-human primates and the encoding and decoding of visual/motion information (including computational neuroscience and brain-inspired computing). He mainly studies the adaptation and learning processes of the nervous system in interaction with the external environment, especially the dual learning system of mutual collaboration and integration between the brain and machines and its application in brain-computer interfaces, aiming to develop the next generation of brain-machine fusion systems. He has published many articles in top journals in related fields, such as Nature Biomedical Engineering, Nature Communications, Journal of Neuroscience, and PLoS Computational Biology.

His research focuses on implantable closed-loop brain-computer interfaces in non-human primates and the encoding and decoding of visual/motion information (including computational neuroscience and brain-inspired computing). He mainly studies the adaptation and learning processes of the nervous system in interaction with the external environment, especially the dual learning system of mutual collaboration and integration between the brain and machines and its application in brain-computer interfaces, aiming to develop the next generation of brain-machine fusion systems.

(1) Lombardo, Joseph A; Macellaio, Matthew, V; Liu, Bing; Palmer, Stephanie E; Osborne, Leslie C; State dependence of stimulus-induced variability tuning in macaque MT, PLOS COMPUTATIONAL BIOLOGY, 2018, 14(10): e1006527.

(2) Jiang, Yuanwen; Li, Xiaojian; Liu, Bing; Yi, Jaeseok; Fang, Yin; Shi, Fengyuan; Gao, Xiang; Sudzilovsky, Edward; Parameswaran, Ramya; Koehler, Kelliann; Nair, Vishnu; Yue, Jiping; Guo, KuangHua; Tsai, Hsiu-Ming; Freyermuth, George; Wong, Raymond, C. S; Kao, Chien-Min; Chen, Chin-Tu; Nicholls, Alan W; Wu, Xiaoyang; Shepherd, Gordon, M. G; Tian, Bozhi; Rational design of silicon structures for optically controlled multiscale biointerfaces, NATURE BIOMEDICAL ENGINEERING, 2018, 2(7): 508-521.

(3) Mukherjee, Trishna; Liu, Bing; Simoncini, Claudio; Osborne, Leslie C; Spatiotemporal Filter for Visual Motion Integration from Pursuit Eye Movements in Humans and Monkeys, JOURNAL OF NEUROSCIENCE, 2017, 37(6): 1394-1412.

(4) Liu, Bing; Macellaio, Matthew V; Osborne, Leslie C; Efficient sensory cortical coding optimizes pursuit eye movements, NATURE COMMUNICATIONS, 2016,7:12759.

(5) Liu Bing; Responses of Primary Visual Cortex Neurons to Transient Changes in Orientation and Contrast, Graduate School of the Chinese Academy of Sciences，Doctoral dissertation，2013.