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Alberto Testolin

Showing results (11-20 of 30) with videos related to

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Plos One|September 12, 2025
Visual enumeration remains challenging for multimodal generative AIAlberto Testolin, Kuinan Hou, Marco Zorzi
Scientific Reports|January 22, 2025
Investigating the intrinsic top-down dynamics of deep generative modelsLorenzo Tausani, Alberto Testolin, Marco Zorzi
Nature Human Behaviour|April 27, 2019
Letter perception emerges from unsupervised deep learning and recycling of natural image featuresAlberto Testolin, Ivilin Stoianov, Marco Zorzi
Entropy (Basel, Switzerland)|December 8, 2020
Emergence of Network Motifs in Deep Neural NetworksMatteo Zambra, Amos Maritan, Alberto Testolin
Frontiers in Psychology|August 24, 2013
Modeling language and cognition with deep unsupervised learning: a tutorial overviewMarco Zorzi, Alberto Testolin, Ivilin P Stoianov
Developmental Science|January 25, 2020
Numerosity discrimination in deep neural networks: Initial competence, developmental refinement and experience statisticsAlberto Testolin, Will Y Zou, James L McClelland
Scientific Reports|June 24, 2020
Visual sense of number vs. sense of magnitude in humans and machinesAlberto Testolin, Serena Dolfi, Mathijs Rochus, et al.
Cognitive Science|June 16, 2015
Learning Orthographic Structure With Sequential Generative Neural NetworksAlberto Testolin, Ivilin Stoianov, Alessandro Sperduti, et al.
Behavior Research Methods|May 15, 2024
Measuring temporal bias in sequential numerosity comparisonSerena Dolfi, Alberto Testolin, Simone Cutini, et al.
Journal of Neural Engineering|November 24, 2024
A systematic review of cross-patient approaches for EEG epileptic seizure predictionSina Shafiezadeh, Gian Marco Duma, Marco Pozza, et al.
Pageof 3

Showing results (11-20 of 30) with videos related to

Sort By:
Pageof 3
Plos One|September 12, 2025
Visual enumeration remains challenging for multimodal generative AIAlberto Testolin, Kuinan Hou, Marco Zorzi
Scientific Reports|January 22, 2025
Investigating the intrinsic top-down dynamics of deep generative modelsLorenzo Tausani, Alberto Testolin, Marco Zorzi
Nature Human Behaviour|April 27, 2019
Letter perception emerges from unsupervised deep learning and recycling of natural image featuresAlberto Testolin, Ivilin Stoianov, Marco Zorzi
Entropy (Basel, Switzerland)|December 8, 2020
Emergence of Network Motifs in Deep Neural NetworksMatteo Zambra, Amos Maritan, Alberto Testolin
Frontiers in Psychology|August 24, 2013
Modeling language and cognition with deep unsupervised learning: a tutorial overviewMarco Zorzi, Alberto Testolin, Ivilin P Stoianov
Developmental Science|January 25, 2020
Numerosity discrimination in deep neural networks: Initial competence, developmental refinement and experience statisticsAlberto Testolin, Will Y Zou, James L McClelland
Scientific Reports|June 24, 2020
Visual sense of number vs. sense of magnitude in humans and machinesAlberto Testolin, Serena Dolfi, Mathijs Rochus, et al.
Cognitive Science|June 16, 2015
Learning Orthographic Structure With Sequential Generative Neural NetworksAlberto Testolin, Ivilin Stoianov, Alessandro Sperduti, et al.
Behavior Research Methods|May 15, 2024
Measuring temporal bias in sequential numerosity comparisonSerena Dolfi, Alberto Testolin, Simone Cutini, et al.
Journal of Neural Engineering|November 24, 2024
A systematic review of cross-patient approaches for EEG epileptic seizure predictionSina Shafiezadeh, Gian Marco Duma, Marco Pozza, et al.
Pageof 3