Research Groups Collaborating Core Facilities

Yunzhe Liu

Assistant Investigator
Ph.D.
"Computational & Integrative Cognition" - decipher the code of human intelligence and psychiatric disorders
yunzhe.liu(at)cibr.ac.cn
Education Experience

2016 - 2020 Ph.D. Computational Neuroscience, University College London

2013 - 2016 M.S. Cognitive Neuroscience, Beijing Normal University

Professional Experience

2021 - present    Principal Investigator, Chinese Institute for Brain Research & Beijing Normal University          

2020 - 2021    Postdoc, University of Oxford

Research Description

How can we learn so much from so little? How can we make flexible decisions in novel context with little experience? This ability of efficient learning and inference is at the core of human intelligence. We study the neural and computational basis of its underlying cognitive process, through an integrative and cross-species approach. We combine non-invasive neuroimaging technique (fMRI, M/EEG) and invasive electrophysiology recording in both human and animals, coupled with carefully crafted cognitive tasks that enabling precise characterisation of behaviour.  



Honors, Awards and Adjunct, Research Positions

2021    Early Career Investigator Award in Neuroimaging Techniques, UCL, UK

2020    Early Career Neuroscience Prize, UCL, UK

2020    Jon Driver Prize, UCL, UK

2019    Governmental award for outstanding PhD students abroad, China

Publications

SELECTED PUBLICATIONS (# co-first; * corresponding author)

For full publications, please see: https://scholar.google.co.uk/citations?user=JTvHJzUAAAAJ

For accompanying code and model, please see: https://github.com/YunzheLiu


1. Liu, Y.*, Nour, M., Schuck, N., Behrens, T. E., Dolan, R. J. (2022) Decoding cognition from spontaneous neural activity. Nature Reviews Neuroscience, 1-11

2. Liu, Y.*, Dolan, R. J., Higgins, C., Penagos, H., Woolrich, M., ᅮlafsd￳ttir, H. F., Barry, C., Kurth-Nelson, Z., Behrens, T. E. (2021) Temporally delayed linear modelling (TDLM) measures replay in both animals and humans. eLife, 10: e66917.

3. Liu, Y.*, Mattar, M., Behrens, T. E., Daw, N., Dolan, R.J. (2021) Experience replay is associated with efficient nonlocal learning. Science, 372(6544).

4. Nour, M. #, Liu, Y. #, Arumuham, A., Kurth-Nelson, Z., Dolan, R. (2021) Impaired neural replay of inferred relational structure in schizophrenia. Cell

5. Wise, T. #, Liu, Y. #, Chowdhury, F., & Dolan, R. J. (2021). Model-based aversive learning in humans is supported by preferential task state reactivation. Science Advances, eabf9616.

6. Higgins, C. #, Liu, Y.#, Vidaurre, D, Kurth-Nelson, Z., Dolan, R. J., Behrens, T. E., Woolrich, M (2021) Replay bursts coincide with activation of the default mode and parietal alpha network. Neuron, 109(5), 882-893.

7. Wimmer, G. E. #, Liu, Y. #, Vehar, N., Behrens, T. E., Dolan, R. J. (2020) Episodic memory retrieval success is associated with rapid replay of episode content. Nature Neuroscience, 1-9.

8. Liu, Y.*, Dolan, R. J., Kurth-Nelson, Z., Behrens, T. E. (2019) Human replay spontaneously reorganises experience. Cell, 178(3), 640-652.

9. Liu, Y., Lin, W., Li, W., Wang, X., Pan, X., Yan, X., Rutledge, R. Ma, Y. (2019) Oxytocin modulates social value representations in the amygdala. Nature Neuroscience, 22(4), 633.

10. Liu, Y., Lin, W., Liu, C., Wu, J., Luo, Y., Bayley, P., Qin, S. (2016) Memory consolidation reconfigures neural pathways involved in the suppression of emotional memories. Nature Communications, 7, 13375.