Home Department: Symbolic Systems
Supported by: Dean of Research and Department of Symbolic Systems
Mentor: James McClelland, Professor of Social Sciences, Psychology, and, of Linguistics

Rachel is a rising junior pursuing a neurosciences major. As part of Professor Jay McClelland’s PDP labs, Rachel’s research focuses on building computational models that can capture both human behavior and neural data. This summer, Rachel has been studying perceptual learning by designing deep networks that mimic the human visual system. Working closely with Andrew Saxe of the PDP and Dr. Andrew Ng’s Stanford AI lab, Rachel is building a model with a deep learning algorithm that can resolve the competing theories on the loci of change in the brain for perceptual learning. Rachel plans to pursue a PhD in computational neuroscience.

Poster presented at the Stanford Bio-X Interdisciplinary Initiatives Symposium on August 26, 2013:

Modeling Perceptual Learning with Deep Networks

Rachel Lee¹, Andrew Saxe², Jay McClelland³
[Departments of Symbolic Systems¹, Electrical Engineering², and Psychology³, Stanford University]