Faculty

Xiangbin TENG

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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.

Teaching Areas

2023-2024
  • PSYC7010- Cognition Seminar
  • PSYC5121- Capstone Project

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. 

Publications

Representative

Teng, X., Larrouy-Maestri, P., & Poeppel, D. (2021). Segmenting and Predicting Musical Phrase Structure Exploits Neural Gain Modulation and Phase Precession. bioRxiv.

Teng, X., Ma, M., Jin, B., Blohm, S., Cai, Q., Tian, X. (2020) Constraint Structure of Ancient Chinese Poetry Facilitates Speech Content. Current Biology, 30(7), 1299–1305.e7. 

Teng, X., Tian, X., Doelling, K., & Poeppel, D. (2018). Theta band oscillations reflect more than entrainment: behavioral and neural evidence demonstrates an active chunking process. European Journal of Neuroscience, 48(8), 2770-2782.

Teng, X., Tian, X., Rowland, J., & Poeppel, D. (2017). Concurrent temporal channels for auditory processing: Oscillatory neural entrainment reveals segregation of function at different scales. PLoS biology, 15(11), e2000812.

Teng, X., Tian, X., & Poeppel, D. (2016). Testing multi-scale processing in the auditory system. Scientific reports, 6, 34390.

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