Kimberly Stachenfeld

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C.V. •  Google scholar page

About

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.

Publications

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 (2017). The hippocampus as a predictive map. Nature Neuroscience 20: 1643–1653. | article • 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

C.V. •  Google scholar page