Welcome to the Brain, Language, and Computation Lab at the Penn State 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?). Our approach focuses on the dynamic interactions in the learning-learner systems and the corresponding dynamic changes in the native and non-native cross-linguistic brains. To achieve our research goals, we rely on a variety of convergent behavioral, computational, and neuroimaging methodologies (e.g., cognitive testing, artificial neural network modeling, and functional magnetic resonance imaging). Our research has been generously supported by the National Science Foundation.


Aug 2017 Ping Li, Ben Schloss, and Jake Follmer’s article on political semantic space was featured on the Psychonomic Society blog.
July 2017 Ping Li, Ben Schloss, and Jake Follmer’s article on political semantic space was featured on Penn State News
May 2017 Ping Li and Xiaowei Zhao published a review in Research Methods in Psycholinguistics and Neurobiology of Language
Apr 2017 Keke Yu and colleagues published a paper in Language, Cognition, and Neuroscience
Mar 2017 Ben Schloss successfully defended his Master’s thesis
Feb 2017 Angela Grant successfully defended her PhD dissertation
Feb 2017 Ping Li published a post on Npj Science of Learning community regarding second language learning and the brain
Oct 2016 Angela Grant received Psychonomic Society/Women in Cognitive Science Travel and Networking Award for Junior Scientists
See also: News Archive and Media Coverage


Brain, Language, and Computation Lab
456 Moore Building
The Pennsylvania State University
University Park, PA 16802
Phone: +1.814.863.3921


To apply, please click here
For inquiries, email here