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Xiangbin Teng, Ph.D

Xiangbin Teng

Hong Kong University


I joined the lab in September 2021 as a postdoc researcher. Before that I worked in Max Planck Institutes in Frankfurt am Main and Berlin, and earned my PhD in Cognition and Perception at New York University, M.Sc. at Peking University, and B.Sc. at Shanghai Jiao Tong University. In September 2022, I will join the Department of Psychology at the Chinese University of Hong Kong as an assistant professor. 

When I am not doing research, I play music and go jogging. I like to read about philosophy and physics. 

For more information, please visit my website: https://sites.google.com/site/xiangbinteng2

General 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 am proficient in neural signal processing in MEG and EEG and have uniquely targeted neural dynamics in ultra-low frequency ranges of 0.1 Hz to 0.3 Hz, but also constructed Recurrent neural networks (RNN), and deployed psychophysics and fMRI when necessary. I aim to understand how the brain constructs abstract structures over seconds to tens of seconds in natural stimuli and in real-world laboratories.  


Research project

I currently work with Dr. Cichy and Dr. Jacobs to investigate how we extract meanings and develop affective sensations in naturalistic settings such as watching movies, using state-of-the-art neural network models and functional MRI. Additionally, with Dr. Cichy, I study how the brain memorizes and employs temporal regularity to predict incoming events, by applying advanced multivariate decoding algorithms on EEG and functional MRI data. 




  • Teng, X., & Zhang, R-Y. (2021) Sequential Temporal Anticipation Characterized by Neural Power Modulation and in Recurrent Neural Network. bioRxiv.
  • Teng, X., Larrouy-Maestri, P., & Poeppel, D. (2021). Segmenting and Predicting Musical Phrase Structure Exploits Neural Gain Modulation and Phase Precession. bioRxiv.

Peer-reviewed journals

  • Teng, X., Meng, Q., & Poeppel, D. (2020). Modulation Spectra Capture EEG Responses to Speech Signals and Drive Distinct Temporal Response Functions. eNeuro, ENEURO.0399–20.2020
  • 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., & Poeppel, D. (2019). Theta and Gamma Bands Encode Acoustic Dynamics over Wide-ranging Timescales. Cerebral Cortex, 25(Part 2 IS), 3077
  • Teng, X., Cogan, G. B., & Poeppel, D. (2019). Speech fine structure contains critical temporal cues to support speech segmentation. NeuroImage, 116152
  • Tian, X., Ding, N., Teng, X., Bai, F., & Poeppel, D. (2018). Imagined speech influences perceived loudness of sound. Nature Human Behaviour2(3), 225.
  • Teng, X., Sun, Y., & Poeppel, D. (2018). Temporal order judgment reveals local-global auditory processes. Acta Acustica united with Acustica104(5), 817-820.
  • 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 Neuroscience48(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 biology15(11), e2000812.
  • Teng, X., Tian, X., & Poeppel, D. (2016). Testing multi-scale processing in the auditory system. Scientific reports6, 34390.
  • Wu, M., Li, H., Gao, Y., Lei, M., Teng, X., Wu, X., & Li, L. (2012). Adding irrelevant information to the content prime reduces the prime-induced unmasking effect on speech recognition. Hearing research283(1-2), 136-143.

Conference proceeding (peer-reviewed)

  • Shrestha, M., Teng, X., Lee, S., Noeth, U., Poeppel, D., Deichmann, R. (2020). Functional MRI of the Auditory Cortex: Comparison of Different Sequences to investigate Speech and Amplitude Modulated Sounds. In: Proceedings of the 28th annual meeting of ISMRM
  • Kong, F., Wang, X., Teng, X., Zheng, N., Yu, G., Meng, Q. (2019). Reverberant speech recognition with actual cochlear implants: verifying a pulsatile vocoder simulation method. In: Proceedings of the 23rd International Congress on Acoustics

Book chapter and review

  • Poeppel, D., & Teng, X. (2020). 2.06 - Entrainment in Human Auditory Cortex: Mechanism and Functions. In B. Fritzsch (Ed.), The Senses: A Comprehensive Reference (Second Edition) (pp. 63–76). Oxford: Elsevier.