Faculty
Xiangbin TENG
Ph.D., New York University
Assistant Professor
Rm 359, Sino Building Building
XiangbinTeng@cuhk.edu.hk
3943 3468
2603 5019
Research - SMRT Lab (labsmrt.github.io)
Brief Introduction
Dr. Teng joined the Department of Psychology as an assistant professor in 2022. Before, he worked in Max Planck Institutes in Frankfurt am Main and Berlin, Germany, and earned his PhD in Cognition and Perception at New York University. His lab aims to understand how human beings understand speech and appreciate music.
Research Interests
I am fascinated with dynamics across timescales in the brain and in the dynamic world. My research has been focusing on how the brain processes complex temporal sequences, regarding natural stimuli such as spoken language and music that are critical to our daily communication and separate us from other species. I use EEG, MEG, and fMRI, but also constructed neural network models, to understand how the brain constructs abstract structures over seconds to tens of seconds in natural stimuli and in real-world laboratories.
Teaching Areas
- PSYC3360- Human Intelligence
- PSYC5121- Capstone Project
- PSYC3440- Psychology of Music
Publications
Teng, X., Larrouy-Maestri, P., Poeppel, D. (2024) Segmenting and Predicting Musical Phrase Structure Exploits Neural Gain Modulation and Phase Precession. Journal of Neuroscience, 44(30)
Teng Xiangbin, Zhang Ru-Yuan (2024) Sequential Temporal Anticipation Characterized by Neural Power Modulation and in Recurrent Neural Networks. eLife, 13:RP99383.
Chang A, Teng X, Assaneo MF, Poeppel D (2024) The human auditory system uses amplitude modulation to distinguish music from speech. PLoS Biol 22(5): e3002631.
Chen, X., Teng, X., Chen, H., Pan, Y., Geyer, P. (2024) Toward reliable signal decoding for electroencephalogram: A benchmark study to EEGNeX. Biomedical Signal Processing and Control, 87(Part B), 105475
Tan, Y., Sun, Z., Teng, X., Larrouy-Maestri, P., Duan, F., & Aoki, S. (2024). Effective network analysis in music listening based on Electroencephalogram. Computers and Electrical Engineering, 117, 109191
