Kimberly Lauren Stachenfeld

Cited by

	All	Since 2018
Citations	2211	2133
h-index	14	14
i10-index	19	19

620

310

155

465

20142015201620172018201920202021202220237 10 17 31 93 161 296 415 554 605

Public access

View all

11 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Samuel GershmanProfessor, Harvard UniversityVerified email at fas.harvard.edu
Matthew BotvinickGoogle DeepMind, Yale Law School, University College LondonVerified email at google.com
Peter BattagliaResearch Scientist, DeepMindVerified email at google.com
Alvaro Sanchez GonzalezGoogle DeepMindVerified email at google.com
Tobias PfaffDeepMindVerified email at google.com
Zeb Kurth-NelsonDeepMind, UCLVerified email at google.com
Jessica B. HamrickResearch Scientist at DeepMindVerified email at google.com
Tim BehrensProfessor of Computational Neuroscience, University of Oxford. Honorary Prof, UCLVerified email at fmrib.ox.ac.uk
Shirley MarkUCLVerified email at ucl.ac.uk
James WhittingtonUniversity of Oxford, Stanford UniversityVerified email at ndcn.ox.ac.uk
Alon B. BaramUniversity of OxfordVerified email at ndcn.ox.ac.uk
Miles CranmerUniversity of CambridgeVerified email at cam.ac.uk
Dmitrii KochkovGoogle ResearchVerified email at google.com
Drummond FieldingFlatiron Research Fellow, Flatiron Institute, Center for Computational AstrophysicsVerified email at flatironinstitute.org
Shirley HoFlatiron Institute, Center for Computational AstrophysicsVerified email at flatironinstitute.org
Jesse P GeertsResearch Associate, University College LondonVerified email at ucl.ac.uk
Neil BurgessProfessor of Cognitive Neuroscience, University College LondonVerified email at ucl.ac.uk
Tatiana López-GuevaraResearch Scientist, DeepMindVerified email at deepmind.com
Victor BapstGoethe Universität, FrankfurtVerified email at math.uni-frankfurt.de
David G.T. BarrettGoogle DeepMind and St Johns College, CambridgeVerified email at cam.ac.uk

Kimberly Lauren Stachenfeld

Research Scientist, Google DeepMind

Verified email at google.com - Homepage

reinforcement learning spatial navigation hippocampus


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
The hippocampus as a predictive map KL Stachenfeld, MM Botvinick, SJ Gershman Nature neuroscience 20 (11), 1643-1653, 2017	769	2017
What is a cognitive map? Organizing knowledge for flexible behavior TEJ Behrens, TH Muller, JCR Whittington, S Mark, AB Baram, ... Neuron 100 (2), 490-509, 2018	724	2018
Design principles of the hippocampal cognitive map KL Stachenfeld, M Botvinick, SJ Gershman Advances in neural information processing systems 27, 2014	123	2014
Structured agents for physical construction V Bapst, A Sanchez-Gonzalez, C Doersch, K Stachenfeld, P Kohli, ... International conference on machine learning, 464-474, 2019	96	2019
Formalizing planning and information search in naturalistic decision-making LT Hunt, ND Daw, P Kaanders, MA MacIver, U Mugan, E Procyk, ... Nature neuroscience 24 (8), 1051-1064, 2021	62	2021
A general model of hippocampal and dorsal striatal learning and decision making JP Geerts, F Chersi, KL Stachenfeld, N Burgess Proceedings of the National Academy of Sciences 117 (49), 31427-31437, 2020	50	2020
Noradrenergic control of error perseveration in medial prefrontal cortex MS Caetano, LE Jin, L Harenberg, KL Stachenfeld, AFT Arnsten, ... Frontiers in integrative neuroscience 6, 125, 2013	48	2013
Flexible modulation of sequence generation in the entorhinal–hippocampal system DC McNamee, KL Stachenfeld, MM Botvinick, SJ Gershman Nature neuroscience 24 (6), 851-862, 2021	47	2021
Learned coarse models for efficient turbulence simulation K Stachenfeld, DB Fielding, D Kochkov, M Cranmer, T Pfaff, J Godwin, ... arXiv preprint arXiv:2112.15275, 2021	38	2021
Jraph: A library for graph neural networks in jax., 2020 J Godwin, T Keck, P Battaglia, V Bapst, T Kipf, Y Li, K Stachenfeld, ... URL http://github. com/deepmind/jraph 5, 0	36
Spectral inference networks: Unifying deep and spectral learning D Pfau, S Petersen, A Agarwal, DGT Barrett, KL Stachenfeld arXiv preprint arXiv:1806.02215, 2018	34	2018
A probabilistic approach to discovering dynamic full-brain functional connectivity patterns JR Manning, X Zhu, TL Willke, R Ranganath, K Stachenfeld, U Hasson, ... NeuroImage 180, 243-252, 2018	31	2018
Physical design using differentiable learned simulators KR Allen, T Lopez-Guevara, K Stachenfeld, A Sanchez-Gonzalez, ... arXiv preprint arXiv:2202.00728, 2022	23	2022
Learned simulators for turbulence K Stachenfeld, DB Fielding, D Kochkov, M Cranmer, T Pfaff, J Godwin, ... International conference on learning representations, 2021	20	2021
Rapid learning of predictive maps with STDP and theta phase precession TM George, W de Cothi, KL Stachenfeld, C Barry Elife 12, e80663, 2023	14	2023
Graph network simulators can learn discontinuous, rigid contact dynamics KR Allen, TL Guevara, Y Rubanova, K Stachenfeld, A Sanchez-Gonzalez, ... Conference on Robot Learning, 1157-1167, 2023	12	2023
Graph networks with spectral message passing K Stachenfeld, J Godwin, P Battaglia arXiv preprint arXiv:2101.00079, 2020	11	2020
Neuroscience needs network science DL Barabási, G Bianconi, E Bullmore, M Burgess, SY Chung, ... Journal of Neuroscience 43 (34), 5989-5995, 2023	10	2023
Probabilistic successor representations with Kalman temporal differences JP Geerts, KL Stachenfeld, N Burgess arXiv preprint arXiv:1910.02532, 2019	10	2019
Spectral inference networks: Unifying spectral methods with deep learning D Pfau, S Petersen, A Agarwal, D Barrett, K Stachenfeld arXiv preprint arXiv:1806.02215 2, 2018	9	2018

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors