Courtney Spoerer
Courtney Spoerer
Medical Research Council, Cognition and Brain Sciences Unit
Verified email at mrc-cbu.cam.ac.uk
Title
Cited by
Cited by
Year
Recurrent convolutional neural networks: a better model of biological object recognition
CJ Spoerer, P McClure, N Kriegeskorte
Frontiers in psychology 8, 1551, 2017
1202017
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
95*2019
Individual differences among deep neural network models
J Mehrer, CJ Spoerer, N Kriegeskorte, TC Kietzmann
Nature communications 11 (1), 1-12, 2020
162020
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
16*2020
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
52016
An ecologically motivated image dataset for deep learning yields better models of human vision
J Mehrer, CJ Spoerer, EC Jones, N Kriegeskorte, TC Kietzmann
Proceedings of the National Academy of Sciences 118 (8), 2021
32021
Corrigendum: Recurrent Convolutional Neural Networks: A Better Model of Biological Object Recognition
CJ Spoerer, P McClure, N Kriegeskorte
Frontiers in psychology 9, 1695, 2018
12018
Recurrent convolutional neural networks as models of biological object recognition
C Spoerer
University of Cambridge, 2020
2020
Recurrent convolutional neural networks suppress occluders and enhance targets in occluded object recognition
CJ Spoerer, N Kriegeskorte
Conference on Cognitive Computational Neuroscience, 2017
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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