School of Biomedical Sciences
The Chinese University of Hong Kong 香港中文大學

CHEUNG Chi Kwan VincentAssociate Professor

Telephone:  3943 9389

Email:  This email address is being protected from spambots. You need JavaScript enabled to view it.


 Room 322A, Lo Kwee-Seong Integrated Biomedical Sciences Building, Area 39, CUHK








Prof. CHEUNG Chi Kwan Vincent (張智鈞) is a native of Hong Kong at present an Associate Professor at the School of Biomedical Sciences of The Chinese University of Hong Kong (CUHK).  He obtained his bachelor degree in Mathematics and Pharmacology & Therapeutics from the University of British Columbia, Vancouver, and subsequently, Ph.D. in Neuroscience and Biomedical Engineering from Massachusetts Institute of Technology (MIT) and the Harvard Medical School, and postdoc at the McGovern Institute for Brain Research of MIT.  Vincent’s research has focused on understanding how the central nervous system (CNS) controls voluntary movement and enables learning of motor skills.  For many years, he has worked closely with MIT Institute Professor Emilio Bizzi on the theory that the CNS translates a motor intention into a suitable motor command by combining basic modules of movement known as muscle synergies.  On the applied side, Vincent is interested in exploring how knowledge of movement modules may be translated into a new rehabilitation strategy for stroke survivors.  He and his collaborators at the Spaulding Rehabilitation Hospital, Boston, and the San Camillo Rehabilitation Hospital, Venice, have recently proposed that distinctive muscle-synergy patterns may be used as markers of motor cortical damage in stroke patients.  More recently, Vincent has utilized novel neural technologies such as optogenetics to elucidate the circuitries and principles underlying movement control.  Vincent’s papers have appeared in many journals including PNAS, Journal of Neuroscience, Journal of Neurophysiology, Scientific Reports, and Neural Computation.  He has been invited to speak at both meetings of professional societies (e.g., Neural Control of Movement Society, Society for Neuroscience USA, and World Congress for Neurorehabilitation) and seminars for the general public (e.g., The Hong Kong Book Fair and The Hong Kong Electronics Fair).

  1. Motor neuroscience.
  2. Neural control of movement.
  3. Mechanisms of motor learning, motor development and post-injury recovery.
  4. Stroke rehabilitation.
  5. Novel neural technologies.
  6. Algorithms for neural data analysis.
  7. Biomechanics.
  1. Cheung, V.C.K., Niu, C.M., Li, S., Xie, Q., & Lan, N*. (2019). A Novel FES Strategy for Poststroke Rehabilitation Based on the Natural Organization of Neuromuscular Control. IEEE reviews in biomedical engineering, 12, 154-167.
  2. Caggiano, V.#Cheung, V.C.K.#, & Bizzi, E. (2016). An optogenetic demonstration of motor modularity in the mammalian spinal cord. Scientific Reports, 6, 35185.
  3. Lan, N.*, Cheung, V.C.K., & Gandevia, S.C. (2016). Editorial: Neural and computational modeling of movement control. Frontiers in Computational Neuroscience, 10, 90.
  4. Devarajan, K.*, & Cheung, V.C.K.* (2016). A quasi-likelihood approach to non-negative matrix factorization. Neural Computation, 28, 1663-1693.
  5. Cheung, V.C.K.*, Devarajan, K., Severini, G., Turolla, A., & Bonato, P. (2015). Decomposing time series data by a non-negative matrix factorization algorithm with temporally constrained coefficients. Conference Proceedings of IEEE Engineering in Medicine and Biology Society, 2015, 3496-3499.
  6. Devarajan, K.*, & Cheung, V.C.K.* (2014). On non-negative matrix factorization algorithms for signal-dependent noise, with application to electromyography data. Neural Computation, 26, 1128-1168.
  7. Coscia, M.*, Cheung, V.C.K., Tropea, P., Koenig, A., Monaco, V., Bennis, C., Micera, S., & Bonato, P. (2014). The effect of arm weight support on upper limb muscle synergies during reaching movements. Journal of NeuroEngineering and Rehabilitation, 11(1), 22.
  8. Cheung, V.C.K.*, DeBoer, C., Hanson, E., Tunesi, M., D'Onofrio, M., Arisi, I., Brandi, R., Cattaneo, A., & Goosens, K.A.* (2013). Gene expression changes in the motor cortex mediating motor skill learning. PLoS One, 8(4), e61496.
  9. Bizzi, E.*, & Cheung, V.C.K.* (2013). The neural origin of muscle synergies. Frontiers in Computational Neuroscience, 7, 51.
  10. Coscia, M*, Cheung, V.C.K., Tropea, P., Koenig, A., Monaco, V., Bennis, C., Micera, S., & Bonato, P. (2013). Effect of gravity compensation on upper limb muscle synergies during reaching: preliminary results from healthy subjects. In: Converging Clinical and Engineering Research in Neurorehabilitation (eds. JL Pons et al.), Berlin, Springer, pp. 141-145.
  11. Cheung, V.C.K., Turolla, A., Agostini, M., Silvoni, S., Bennis, C., Kasi, P., Paganoni, S., Bonato, P., & Bizzi, E.* (2012). Muscle synergy patterns as physiological markers of motor cortical damage. Proceedings of the National Academy of Sciences, USA, 109(36), 14652-14656. [Recommended by Faculty of 1000]
  12. Roh, J.*, Cheung, V.C.K., & Bizzi, E. (2011). Modules in the brainstem and spinal cord underlying motor behaviors. Journal of Neurophysiology, 106, 1363-1378.
  13. Cheung, V.C.K.*, & Bizzi, E.* (2011). Neuroscience at MIT. IEEE Pulse, 2(4), 47-50.
  14. Cheung, V.C.K., Piron, L., Agostini, M., Silvoni, S., Turolla, A., & Bizzi, E.* (2009). Stability of muscle synergies for voluntary actions after cortical stroke in humans. Proceedings of the National Academy of Sciences, USA, 106(46), 19563-19568.
  15. Cheung, V.C.K.*, d’Avella, A., & Bizzi, E. (2009). Adjustments of motor pattern for load compensation via modulated activations of muscle synergies during natural behaviors. Journal of Neurophysiology, 101, 1235-1257. [Recommended reading listed in the textbook, Brain Structure and Its Origins, by Gerald E. Schneider (2014, MIT Press)]
  16. Bizzi, E.*, Cheung, V.C.K., d’Avella, A., Saltiel, P., & Tresch, M.C. (2008). Combining modules for movement. Brain Research Reviews, 57, 125-133.
  17. Tresch, M.C.*, Cheung, V.C.K., & d’Avella, A. (2006). Matrix factorization algorithms for the identification of muscle synergies: evaluation on simulated and experimental data sets. Journal of Neurophysiology, 95, 2199-2212.
  18. Cheung, V.C.K.*, & Tresch, M.C. (2005). Non-negative matrix factorization algorithms modeling noise distributions within the exponential family. Conference Proceedings of IEEE Engineering in Medicine and Biology Society, 5, 4990-4993.
  19. Cheung, V.C.K., d’Avella, A.*, Tresch, M.C., & Bizzi, E. (2005). Central and sensory contributions to the activation and organization of muscle synergies during natural motor behaviors. Journal of Neuroscience, 25(27), 6419-6434.

    * Corresponding / Co-corresponding author 
    # Co-first author
  1. Croucher Summer Courses [PI; 01-Feb-19]: "Introduction to Computational Neuroscience".
  2. RGC - Research Impact Fund [PI; 28-Jan-19]: "A Wearable for Post-stroke Rehabilitative Multi-muscle Stimulation Inspired by the Natural Organization of Neuromuscular Control".
  3. RGC - General Research Fund (Early Career Scheme) [PI; 01-Jan-19]: "Learning to Walk: Muscle Coordinative Structures during Gait Development in Normal Infants and Children with Spinal Muscular Atrophy".