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.