Lin Khern Chia

Profile picture for Lin Khern Chia

Contact Information

603 E Daniel St

Room 830

Biography

yes that is a chicken

Research Interests

  • Semantic memory
  • Concept representation/formation
  • Category learning
  • Event representation
  • Language learning
  • Computational models
  • Neural network models
  • Event-related potentials.

Research Description

I study semantic memory with behavioral experiments, neuroimaging, and computational models.

As of now, I have three ongoing projects:

Superprime: a large-scale single-word priming paradigm that varies several parameters of interest. Broadly, variables manipulate how "strategic" participant responses are, and what task-conditions participants experience. Our theory predicts an interaction between these variables such that information key to task performance will be leveraged. This project is expected to yield a 3072-participant-strong dataset that is highly amenable to modeling and testing of theoretical predictions.

Superprime, EEG-edition:

Modeling Superprime: I will be modeling the Superprime dataset with an attractor network (a neural network model of priming) that has been made to be sensitive to the task-at-hand.

Education

I graduated with my B.S. in Psychology (minor in philosophy) from the University of California, Riverside in 2018. My interests in philosophy are closely related to my interests in cognitive psychology-- I'm broadly interested in the philosophy of science, epistemology, and formal logic.

Highlighted Publications

Chia, L.K. & Willits, J. (2019). The Goal-Dependent Nature of Automatic Semantic Priming. In A. Goel, C. Seifert, & C. Freska (Eds.), Cognitive Science Society Conference 2019: Creativity+Cognition+Computation (pp. 1493-1498). Retrieved from https://cognitivesciencesociety.org/wp-content/uploads/2019/07/cogsci19_proceedings-8July2019-compressed.pdf

Recent Publications

Chia, L.K. & Willits, J. (2019). The Goal-Dependent Nature of Automatic Semantic Priming. In A. Goel, C. Seifert, & C. Freska (Eds.), Cognitive Science Society Conference 2019: Creativity+Cognition+Computation (pp. 1493-1498). Retrieved from https://cognitivesciencesociety.org/wp-content/uploads/2019/07/cogsci19_proceedings-8July2019-compressed.pdf