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Alberto Testolin

Showing results (1-10 of 30) with videos related to

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Frontiers in Human Neuroscience|April 9, 2020
The Challenge of Modeling the Acquisition of Mathematical ConceptsAlberto Testolin
Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences|January 3, 2018
An emergentist perspective on the origin of number senseMarco Zorzi, Alberto Testolin
Frontiers in Computational Neuroscience|July 29, 2016
Probabilistic Models and Generative Neural Networks: Towards an Unified Framework for Modeling Normal and Impaired Neurocognitive FunctionsAlberto Testolin, Marco Zorzi
Cognitive Processing|February 27, 2017
Learning representation hierarchies by sharing visual features: a computational investigation of Persian character recognition with unsupervised deep learningZahra Sadeghi, Alberto Testolin
Sensors (Basel, Switzerland)|May 28, 2020
Combining Denoising Autoencoders and Dynamic Programming for Acoustic Detection and Tracking of Underwater Moving TargetsAlberto Testolin, Roee Diamant
Royal Society Open Science|July 31, 2025
Artificial intelligence can emulate human normative judgments on emotional visual scenesZaira Romeo, Alberto Testolin
Physics of Life Reviews|May 6, 2026
Comment on "Integrating large language models and active inference to understand eye movements in reading and dyslexia" by Donnarumma et alMarco Zorzi, Alberto Testolin
Psychonomic Bulletin & Review|September 19, 2020
Do estimates of numerosity really adhere to Weber's law? A reexamination of two case studiesAlberto Testolin, James L McClelland
Entropy (Basel, Switzerland)|August 6, 2021
Learning Numerosity Representations with Transformers: Number Generation Tasks and Out-of-Distribution GeneralizationTommaso Boccato, Alberto Testolin, Marco Zorzi
Psychological Research|December 3, 2024
Estimating the distribution of numerosity and non-numerical visual magnitudes in natural scenes using computer visionKuinan Hou, Marco Zorzi, Alberto Testolin
Pageof 3

Showing results (1-10 of 30) with videos related to

Sort By:
Pageof 3
Frontiers in Human Neuroscience|April 9, 2020
The Challenge of Modeling the Acquisition of Mathematical ConceptsAlberto Testolin
Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences|January 3, 2018
An emergentist perspective on the origin of number senseMarco Zorzi, Alberto Testolin
Frontiers in Computational Neuroscience|July 29, 2016
Probabilistic Models and Generative Neural Networks: Towards an Unified Framework for Modeling Normal and Impaired Neurocognitive FunctionsAlberto Testolin, Marco Zorzi
Cognitive Processing|February 27, 2017
Learning representation hierarchies by sharing visual features: a computational investigation of Persian character recognition with unsupervised deep learningZahra Sadeghi, Alberto Testolin
Sensors (Basel, Switzerland)|May 28, 2020
Combining Denoising Autoencoders and Dynamic Programming for Acoustic Detection and Tracking of Underwater Moving TargetsAlberto Testolin, Roee Diamant
Royal Society Open Science|July 31, 2025
Artificial intelligence can emulate human normative judgments on emotional visual scenesZaira Romeo, Alberto Testolin
Physics of Life Reviews|May 6, 2026
Comment on "Integrating large language models and active inference to understand eye movements in reading and dyslexia" by Donnarumma et alMarco Zorzi, Alberto Testolin
Psychonomic Bulletin & Review|September 19, 2020
Do estimates of numerosity really adhere to Weber's law? A reexamination of two case studiesAlberto Testolin, James L McClelland
Entropy (Basel, Switzerland)|August 6, 2021
Learning Numerosity Representations with Transformers: Number Generation Tasks and Out-of-Distribution GeneralizationTommaso Boccato, Alberto Testolin, Marco Zorzi
Psychological Research|December 3, 2024
Estimating the distribution of numerosity and non-numerical visual magnitudes in natural scenes using computer visionKuinan Hou, Marco Zorzi, Alberto Testolin
Pageof 3