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Thomas Serre

Showing results (1-10 of 50) with videos related to

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Annual Review of Vision Science|August 9, 2019
Deep Learning: The Good, the Bad, and the UglyThomas Serre
Wiley Interdisciplinary Reviews. Cognitive Science|March 22, 2016
Models of visual categorizationThomas Serre
Annals of the New York Academy of Sciences|March 1, 2020
Beyond the feedforward sweep: feedback computations in the visual cortexGabriel Kreiman, Thomas Serre
Neuron|October 23, 2025
From prediction to understanding: Will AI foundation models transform brain science?Thomas Serre, Ellie Pavlick
The Behavioral and Brain Sciences|December 6, 2023
Fixing the problems of deep neural networks will require better training data and learning algorithmsDrew Linsley, Thomas Serre
Frontiers in Psychology|November 24, 2011
What are the Visual Features Underlying Rapid Object Recognition?Sébastien M Crouzet, Thomas Serre
Frontiers in Computational Neuroscience|October 27, 2015
Unsupervised invariance learning of transformation sequences in a model of object recognition yields selectivity for non-accidental propertiesSarah M Parker, Thomas Serre
Trends in Cognitive Sciences|September 6, 2025
Feature binding in biological and artificial visionPieter R Roelfsema, Thomas Serre
Proceedings of the National Academy of Sciences of the United States of America|April 4, 2007
A feedforward architecture accounts for rapid categorizationThomas Serre, Aude Oliva, Tomaso Poggio
Neuroimage|December 17, 2009
Reading the mind's eye: decoding category information during mental imageryLeila Reddy, Naotsugu Tsuchiya, Thomas Serre
Pageof 5

Showing results (1-10 of 50) with videos related to

Sort By:
Pageof 5
Annual Review of Vision Science|August 9, 2019
Deep Learning: The Good, the Bad, and the UglyThomas Serre
Wiley Interdisciplinary Reviews. Cognitive Science|March 22, 2016
Models of visual categorizationThomas Serre
Annals of the New York Academy of Sciences|March 1, 2020
Beyond the feedforward sweep: feedback computations in the visual cortexGabriel Kreiman, Thomas Serre
Neuron|October 23, 2025
From prediction to understanding: Will AI foundation models transform brain science?Thomas Serre, Ellie Pavlick
The Behavioral and Brain Sciences|December 6, 2023
Fixing the problems of deep neural networks will require better training data and learning algorithmsDrew Linsley, Thomas Serre
Frontiers in Psychology|November 24, 2011
What are the Visual Features Underlying Rapid Object Recognition?Sébastien M Crouzet, Thomas Serre
Frontiers in Computational Neuroscience|October 27, 2015
Unsupervised invariance learning of transformation sequences in a model of object recognition yields selectivity for non-accidental propertiesSarah M Parker, Thomas Serre
Trends in Cognitive Sciences|September 6, 2025
Feature binding in biological and artificial visionPieter R Roelfsema, Thomas Serre
Proceedings of the National Academy of Sciences of the United States of America|April 4, 2007
A feedforward architecture accounts for rapid categorizationThomas Serre, Aude Oliva, Tomaso Poggio
Neuroimage|December 17, 2009
Reading the mind's eye: decoding category information during mental imageryLeila Reddy, Naotsugu Tsuchiya, Thomas Serre
Pageof 5