I am a graduate student pursuing a PhD in Neuroscience at Princeton Neuroscience Institute. My thesis advisor is Matthew Botvinick. I am currently based in London though and am working with the DeepMind Neuroscience team.
Research interests include: hippocampus + entorhinal cortex, reinforcement learning (deep or otherwise), efficient representations for reinforcement learning, and on good days, fMRI.
Jeremy Manning, Xia Zhu, Theodore L. Willke, Rajesh Ranganath, Kimberly L. Stachenfeld, Uri Hasson, David M. Blei, Kenneth A. Norman (in press). A probabilistic approach to discovering dynamic full-brain functional connectivity patterns. NeuroImage. | preprint
Kimberly L. Stachenfeld, Matthew M. Botvinick, & Samuel J. Gershman (2014). Design principles of the hippocampal cognitive map. Spotlight in Advances in Neural Information Processing Systems (NIPS) 27: 2528–2536. | article
Marcelo S. Caetano, Lu E. Jin, Linda Harenberg, Kimberly L. Stachenfeld, Amy
F.T. Arnsten, & Mark Laubach (2012). Noradrenergic control of error perseveration in medial prefrontal cortex. Frontiers in Integrative Neuroscience 6(125). | article