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Thomas Serre, PhD

Cognitive Linguistic & Psychological Sciences  Brown University, Providence, RI 
vision, computational neuroscience, learning, object recognition
"Thomas Serre"
Mean distance: 13.86 (cluster 29)


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Tomaso A. Poggio grad student 2001-2006 MIT
Tomaso A. Poggio post-doc 2006- MIT


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Pankaj K. Gupta research assistant 2016-2018
Vijay Veerabadran research assistant 2017-2018 Brown
Ali Bilgin Arslan grad student 2009- Brown
Ruobing Xia grad student 2012- Brown
Jules Brochard grad student 2013-2015 Brown
Sébastien M. Crouzet post-doc 2010- Brown
Victor Boutin post-doc 2020-2020
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Kreiman G, Serre T. (2020) Beyond the feedforward sweep: feedback computations in the visual cortex. Annals of the New York Academy of Sciences
Wilf P, Zhang S, Chikkerur S, et al. (2016) Computer vision cracks the leaf code. Proceedings of the National Academy of Sciences of the United States of America
Mély DA, Kim J, McGill M, et al. (2015) A systematic comparison between visual cues for boundary detection. Vision Research
Parker SM, Serre T. (2015) Unsupervised invariance learning of transformation sequences in a model of object recognition yields selectivity for non-accidental properties. Frontiers in Computational Neuroscience. 9: 115
Cauchoix M, Crouzet SM, Fize D, et al. (2015) Fast ventral stream neural activity enables rapid visual categorization. Neuroimage. 125: 280-290
Sofer I, Crouzet SM, Serre T. (2015) Explaining the Timing of Natural Scene Understanding with a Computational Model of Perceptual Categorization. Plos Computational Biology. 11: e1004456
Hofmann JW, Zhao X, De Cecco M, et al. (2015) Reduced expression of MYC increases longevity and enhances healthspan. Cell. 160: 477-88
Cauchoix M, Barragan-Jason G, Serre T, et al. (2014) The neural dynamics of face detection in the wild revealed by MVPA. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 34: 846-54
Kuehne H, Arslan A, Serre T. (2014) The language of actions: Recovering the syntax and semantics of goal-directed human activities Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 780-787
Zhang Y, Zhang S, Huang Q, et al. (2014) Learning sparse prototypes for crowd perception via ensemble coding mechanisms Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8749: 86-100
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