Christopher Summerfield

University of Oxford, Oxford, United Kingdom 
Perception, decision-making
"Christopher Summerfield"
Mean distance: 14.31 (cluster 23)


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Joy Hirsch grad student 2003-2005 Columbia
Jennifer A. Mangels grad student 2001-2006 Columbia
 (Cognitive control during episodic memory formation.)
Etienne Koechlin post-doc 2005-2008 ENS Paris


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Dan Bang grad student UCL
Yinan Cao grad student
Santiago Herce Castanon grad student University of Geneva
Elizabeth Michael grad student Cambridge
James Christopher Moreland grad student
Jan Balaguer grad student 2014-2017 Oxford
Vincent de Gardelle post-doc CNRS Sorbonne
Valentin Wyart post-doc Oxford
Annabelle Blangero post-doc 2015- Oxford
Hannah Sheahan post-doc 2018- Oxford
Konstantinos Tsetsos post-doc 2012-2015 Oxford
Jan Balaguer research scientist 2012-2014


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Tobias Egner collaborator Columbia
Jiefeng Jiang collaborator
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Juechems K, Summerfield C. (2019) Where Does Value Come From? Trends in Cognitive Sciences
Cao Y, Summerfield C, Park H, et al. (2019) Causal Inference in the Multisensory Brain. Neuron
Herce Castañón S, Moran R, Ding J, et al. (2019) Human noise blindness drives suboptimal cognitive inference. Nature Communications. 10: 1719
Luyckx F, Nili H, Spitzer B, et al. (2019) Neural structure mapping in human probabilistic reward learning. Elife. 8
Juechems K, Balaguer J, Herce Castañón S, et al. (2019) A Network for Computing Value Equilibrium in the Human Medial Prefrontal Cortex. Neuron
Summerfield C, Li V. (2018) Perceptual suboptimality: Bug or feature? The Behavioral and Brain Sciences. 41: e245
Flesch T, Balaguer J, Dekker R, et al. (2018) Comparing continual task learning in minds and machines. Proceedings of the National Academy of Sciences of the United States of America
Li V, Michael E, Balaguer J, et al. (2018) Gain control explains the effect of distraction in human perceptual, cognitive, and economic decision making. Proceedings of the National Academy of Sciences of the United States of America
Botvinick M, Barrett DGT, Battaglia P, et al. (2017) Building machines that learn and think for themselves. The Behavioral and Brain Sciences. 40: e255
Li V, Herce Castañón S, Solomon JA, et al. (2017) Robust averaging protects decisions from noise in neural computations. Plos Computational Biology. 13: e1005723
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