Browse by UCL people
Group by: Type | Date
Number of items: 5.
Article
Geerts, Jesse P;
Gershman, Samuel J;
Burgess, Neil;
Stachenfeld, Kimberly L;
(2023)
A probabilistic successor representation for context-dependent learning.
Psychological Review
10.1037/rev0000414.
(In press).
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Geerts, JP;
Chersi, F;
Stachenfeld, KL;
Burgess, N;
(2020)
A general model of hippocampal and dorsal striatal learning and decision making.
Proceedings of the National Academy of Sciences of the United States of America
10.1073/pnas.2007981117.
(In press).
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Pinotsis, DA;
Geerts, JP;
Pinto, L;
FitzGerald, TH;
Litvak, V;
Auksztulewicz, R;
Friston, KJ;
(2017)
Linking canonical microcircuits and neuronal activity: Dynamic causal modelling of laminar recordings.
NeuroImage
, 146
pp. 355-366.
10.1016/j.neuroimage.2016.11.041.
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Proceedings paper
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Geerts, JP;
Stachenfeld, KL;
Burgess, N;
(2019)
Probabilistic Successor Representations with Kalman Temporal Differences.
In:
Proceedings of 2019 Conference on Cognitive Computational Neuroscience.
(pp. pp. 399-402).
CCN: Berlin, Germany.
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Thesis
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Geerts, Jesse Pepijn;
(2021)
Hippocampal predictive maps of an uncertain world.
Doctoral thesis (Ph.D), UCL (University College London).
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