Our Research
Welcome to the Brain, Language, and Computation Lab at The Hong Kong Polytechnic University!
In our laboratory we conduct research to understand the neural and computational bases of language representation and learning. Our research specifically addresses the questions of neuroplasticity (e.g., how does language learning lead to experience-dependent brain changes?), individual differences (e.g., how does cognitive capacity impact learning success?), and knowledge representation (e.g., how does brain connectivity reflect knowledge and understanding?).
To achieve these goals, we rely on a variety of convergent behavioral, computational, and neuroimaging methodologies and technologies (e.g., cognitive testing, artificial neural network modeling, virtual reality, and functional magnetic resonance imaging).
Latest News
Oct 2023
Chanyuan Gu, Qihui Xu, Ping Li presented two posters at the 2023 Annual Conference of the Society for the Neurobiology of Language
Aug 2023
Chaouch-Orozco, Adel co-editing The Cambridge Handbook of Third Language Acquisition. Cambridge University Press.
Aug 2023
Ping Li, Qihui Xu, Yingying Peng published a paper ‘Large-scale Network Analyses Reveal Cross-Language Differences in Semantic Structures: A Comparative Study’ in Proceedings of the Annual Meeting of the Cognitive Science Society, 45.
Aug 2023
Ping Li, Jing Wang presented a paper ‘Statistical and Syntactic Information Facilitate Verb Learning by Resolving Ambiguity in Different Ways’ in 29th Conference on Architectures and Mechanisms for Language Processing (AMLaP).
June 2023
Ping Li, Yue Jiang published a paper ‘Hybrid/online teaching: a survey and key issues’ in Proceedings of the IEEE COMPSAC 2023 – Computing Education and Learning Technologies (CELT)
April 2023
Ping Li, Yunxiao Ma published paper ‘ How Different Types of Linguistic Information Impact Voice Perception: Evidence From the Language-Familiarity Effect ‘ in Journal of Speech, Language, and Hearing Research.
April 2023
Shaoyun Yu, Chanyuan Gu, Kexin Huang, Ping Li presented a poster ‘Representations from Large Language Models capture neural patterns in naturalistic reading of scientific texts’ in 30th annual meeting of the Cognitive Neuroscience Society 2023(CNS) .
Nov 2022
Chanyuan Gu and Yingying Peng presented a paper at the 52nd Annual Meeting of the Society for Computation in Psychology.