Mapping similarity to false memory
A computational cognitive-science study testing which representation of similarity best predicts when people remember words they never saw.
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A computational cognitive-science study testing which representation of similarity best predicts when people remember words they never saw.
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View projectFlagship research · ASI / ISEF
Research in progress
In the Deese–Roediger–McDermott paradigm, people study a list of related words—such as bed, rest, and dream—then often remember a closely related word like sleep that was never shown. My research asks what kind of similarity best explains that effect.
Which representation of similarity best predicts published human false-recall and false-recognition rates across 55 DRM word lists when the memory equation is held fixed?
The approach
Each DRM list contains 15 studied words and one unpresented “critical lure.” I calculate the similarity between every studied word and its lure, then compare six representational spaces under the same global-matching framework.
False recall and false recognition are treated as separate continuous outcomes. The final comparison will use held-out predictions and prespecified metrics—RMSE, MAE, Pearson correlation, and Spearman correlation—so each representation is evaluated on equal terms.
Writing & publications
About
I'm a researcher interested in the space between evidence and action—how we ask better questions, make sense of complexity, and build more thoughtful futures.
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