Xindong Song Ph.D.

Principal investigator, the Institute of Automation, Chinese Academy of Sciences.

2022-present Principal investigator at the Institute of Automation, Chinese Academy of Sciences.

2023-present Adjunct professor at the School of Artificial Intelligence, University of Chinese Academy of Sciences.

2023-present Adjunct investigator at the Tsinghua Laboratory of Brain and Intelligence, Tsinghua University.

2017-2022 Postdoctoral fellow at the Department of Biomedical Engineering, Johns Hopkins University & Kavli Neuroscience Discovery Institute

2008-2016 PhD, Biomedical Engineering, Johns Hopkins University

2004-2008 MS, Department of Biological Science & Technology, Tsinghua University

2000-2004 BS, Department of Electronic Engineering, Tsinghua University

Research Interest & Fields

Dr.Song’s research interests lie in how the brain computes and how to build machines compute like the brain. Specifically, his work focuses on developing novel optical imaging methods aimed at reading and writing primate brain functions with high-throughput (optical brain-machine interfaces). With these methods, he maps and analyzes the cortical neural circuits that mediate complex auditory perception in primates, while also generating functional data of primate brains with high-coverage, and high-sensitivity to align and train machine models that closely resemble real brain functions. Related work has been published in journals such as Nature Communications and Light: Science & Applicationsa, and has also appeared as cover articles in PNAS and Hearing Research, with features in media outlets like Nature and Scientific American.

Selected Publications

[1] ong X#, et. al. (2023) “Tonotopic organization of auditory cortex in awake marmosets revealed by multi-modal wide-field optical imaging”. Current Research in Neurobiology. 6:100132.

[2] Song X#, et. al. (2022) “Mesoscopic landscape of cortical functions revealed by through-skull wide-field optical imaging in marmoset monkeys”. Nature Communications. 13:2238.

[3] Song X#, Guo Y, Chen C, Wang X# (2022) “A silent two-photon imaging system for studying in vivo auditory neuronal functions”. Light: Science and Applications. 11:96. (news by nature.com/articles/s41377-022-00843-3)

[4] Osmanski MS*, Song X*, Guo Y, Wang X# (2016) “Frequency discrimination in the common marmoset (Callithrix jacchus)”. Hearing Research. 341:1-8 (*contributes equally, cover story)

[5] Song X#, Osmanski MS, Guo Y, Wang X# (2016) “Complex pitch perception mechanisms are shared by humans and a New World monkey”. Proceedings of the National Academy of Sciences of the USA. 113:781-786 (cover story, news by Nature, Scientific American)

Honors and awards and participation in academic societies

Kavli Neuroscience Distinguished Fellow, Kavli Neuroscience Discovery Institute at Johns Hopkins, 2017

Bae Gyo Jung Research Award, 39th Young Investigators’ Day, Johns Hopkins School of Medicine, 2016

Gold Medal, International Genetically Engineered Machine Competition (iGEM), 2007

Top One of Heilongjiang Province, China Physics Olympiad,1999

Contact Information

songxindong@tsinghua.edu.cn,

xindong.song@ia.ac.cn,

songxindong@gmail.com