Courtney Spoerer
Courtney Spoerer
Medical Research Council, Cognition and Brain Sciences Unit
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Cited by
Cited by
Recurrent convolutional neural networks: a better model of biological object recognition
CJ Spoerer, P McClure, N Kriegeskorte
Frontiers in psychology 8, 1551, 2017
Recurrence is required to capture the representational dynamics of the human visual system
TC Kietzmann, CJ Spoerer, LKA Sörensen, RM Cichy, O Hauk, ...
Proceedings of the National Academy of Sciences 116 (43), 21854-21863, 2019
A computational exploration of complementary learning mechanisms in the primate ventral visual pathway
CJ Spoerer, A Eguchi, SM Stringer
Vision Research 119, 16-28, 2016
Recurrent neural networks can explain flexible trading of speed and accuracy in biological vision
CJ Spoerer, TC Kietzmann, J Mehrer, I Charest, N Kriegeskorte
PLOS Computational Biology 16 (10), e1008215, 2020
Individual differences among deep neural network models
J Mehrer, CJ Spoerer, N Kriegeskorte, TC Kietzmann
bioRxiv, 2020
Recurrent convolutional neural networks as models of biological object recognition
C Spoerer
University of Cambridge, 2020
Corrigendum: Recurrent Convolutional Neural Networks: A Better Model of Biological Object Recognition
CJ Spoerer, P McClure, N Kriegeskorte
Frontiers in psychology 9, 1695, 2018
Recurrent convolutional neural networks suppress occluders and enhance targets in occluded object recognition
CJ Spoerer, N Kriegeskorte
Conference on Cognitive Computational Neuroscience, 2017
Representational dynamics in the human ventral stream captured in deep recurrent neural nets
TC Kietzmann, CJ Spoerer, L Sörensen, RM Cichy, O Hauk, ...
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