Dr. Siyi Chen

Academic education and career

• 2014-2018 Ph.D. in Systemic Neurosciences, Graduate School of Systemic Neurosciences (GSN), LMU Munich, Germany
• 2018-now Postdoc Fellow, Department of Psychology, LMU Munich, Germany
• 2023-2024 Junior Researcher in Residence, Center for Advanced Studies, LMU

Awards

• 09.2021-09.2022 Post-doc stipend from the Bayerische Gleichstellungsförderung (BGF)
• 03.2023-09.2026 DFG: CH 3093/1-1 “Influences of uncertainty on context guidance and suppression in context learning: neural and computational mechanisms

Invited Presentations

• 08.2017 Talk, 2017 ECVP, Berlin Germany
• 09.2023 Invited speaker, Sino-German Multisensory Symposium, Beijing China
• 12.2023 Colloquium speaker, Center for Advanced Studies LMU (CAS LMU)
• 03.2024 Speaker, Predictive attention, Center for Advanced Studies LMU (CAS LMU)

International Collaborations

• 2023, visiting Beijing Normal University and Chinese Academy Sciences, invited by Sino-German Multisensory Symposium, organizers: Lihan Chen (Beijing University), Zhuanghua Shi (LMU)
• 2023-2024. Prof. Fangfang, Beijing University, visiting fellow invited by Siyi Chen, CAS LMU
• 03.2024 International workshop led by Siyi Chen, Predictive attention, CAS LMU, Participants include: Dr. Tom Beesley (Lancaster University, UK), Dr. Sage Boettcher (University of Oxford, UK), Prof. Floris de Lange (Radboud University Nijmegen, Netherlands), Prof. Fang Fang (Peking University, China), Prof. Nikolaus Kriegeskorte (Columbia University, USA), Dr. Marius Peelen (Radboud University Nijmegen, Netherlands), and Prof. Heleen Slagter (Vrije Universiteit Amsterdam, Netherland

Research Methods

Psychophysics, Mental Chronometry, Eye-Tracking, functional Magnetic Resonance Imaging (fMRI), Electroencephalography (EEG), Matlab, Python, R

Research Interests

Neuropsychology, Cognitive Psychology, Computational Neuroscience, Visual Attention and Working & Long-term Memory, Multisensory Attention and Integration

Latest of Publications

1. Chen, S., Merkuš, N., Tsai, S. Y., Cheng, S., Müller, H. J., & Shi, Z. (2025). Statistical context learning in visual search: distinct electrophysiological signatures of contextual guidance and context suppression. Journal of Neuroscience. http://dx.doi.org/10.1523/JNEUROSCI.2186-24.2025.
2. Chen, S., Allenmark, F., Merkuš, N., Müller, H. J., & Shi, Z. (2025). Context-based guidance versus context suppression in contextual learning: Role of un-/certainty in the target–context relations in visual search. Journal of Experimental Psychology: Human Perception and Performance. https://doi.org/10.1037/xhp0001321
3. Cheng, S., Chen, S., Yang, X., & Shi, Z. (2024). The impact of task measurements on sequential dependence: a comparison between temporal reproduction and discrimination tasks. Psychological Research. https://doi.org/10.1007/s00426-024-02023-x
4. Cheng, S., Chen, S., & Shi, Z. (2024). Opposing sequential biases in direction and time reproduction: Influences of task relevance and working memory. British Journal of Psychology. https://doi.org/10.1111/bjop.12728
5. Chen, S., Müller, H. J., & Shi, Z. (2024). Contextual facilitation: Separable roles of contextual guidance and context suppression in visual search. Psychonomic Bulletin & Review. https://doi.org/10.3758/s13423-024-02508-1
6. Chen, S., Töllner, T., Müller, H. J., & Conci, M. (2024). ERPs and alpha oscillations track the encoding and maintenance of object-based representations in visual working memory. Psychophysiology, 61(7), e14557. https://doi.org/10.1111/psyp.14557
7. Cheng, S., Chen, S., Glasauer, S., Keeser, D., & Shi, Z. (2024). Neural mechanisms of sequential dependence in time perception: the impact of prior task and memory processing. Cerebral Cortex, 34(1). https://doi.org/10.1093/cercor/bhad453
8. *Chen, S., Shi, Z., Vural, G., Müller, H. J., & Geyer, T. (2023). Statistical context learning in tactile search: crossmodally redundant, visuo-tactile contexts fail to enhance contextual cueing. Frontiers in Cognition, 2. https://doi.org/10.3389/fcogn.2023.1124286
9. *Chen, S., Geyer, T., Zinchenko, A., Müller, H. J., & Shi, Z. (2022). Multisensory Rather than Unisensory Representations Contribute to Statistical Context Learning in Tactile Search. Journal of Cognitive Neuroscience, 34(9), 1702-1717. https://doi.org/10.1162/jocn_a_01880
10. *Chen, S., Shi, Z., Zinchenko, A., Müller, H. J., & Geyer, T. (2022). Cross-modal contextual memory guides selective attention in visual-search tasks. Psychophysiology, e14025. https://doi.org/10.1111/psyp.14025
11. Zeng, H., Chen, S., Fink, G. R., & Weidner, R. (2022). Information Exchange between Cortical Areas: The Visual System as a Model. The Neuroscientist, 10738584211069061. https://doi.org/10.1177/10738584211069061

Open Access