Idx_2020

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2020

Combining Denoising Autoencoders and Dynamic Programming for Acoustic Detection and Tracking of Underwater Moving Targets

Testolin, A., & Diamant, R. (2020). Combining Denoising Autoencoders and Dynamic Programming for Acoustic Detection and Tracking of Underwater Moving Targets. Sensors, 20(10), 2945.

PDF document icon TestolinDiamant-Sensors-2020.pdf — PDF document, 8.96 MB (9396271 bytes)

Do estimates of numerosity really adhere to Weber’s law? A reexamination of two case studies

Testolin, A., & McClelland, J. L. (2020). Do estimates of numerosity really adhere to Weber’s law? A reexamination of two case studies. Psychonomic Bulletin & Review, 1-11.

PDF document icon Testolin_McClelland-2020-Psychonomic_Bulletin_&_Review.pdf — PDF document, 1.38 MB (1443375 bytes)

Emergence of Network Motifs in Deep Neural Networks

Zambra, M., Maritan, A., & Testolin, A. (2020). Emergence of Network Motifs in Deep Neural Networks. Entropy, 22(2), 204.

PDF document icon Zambra.et.al.-Entropy-2020.pdf — PDF document, 6.49 MB (6801416 bytes)

Evidence of language-related left hypofrontality in Major Depression: An EEG Beta band study

Spironelli, C., Maffei, A., Romeo, Z., Piazzon, G., Padovan, G., Magnolfi, G., … Angrilli, A. (2020). Evidence of language-related left hypofrontality in Major Depression : An EEG Beta band study. Scientific Reports, 10,8166.

PDF document icon Spironelli_et_al-2020-Scientific_Reports.pdf — PDF document, 1.98 MB (2073015 bytes)

Numerosity discrimination in deep neural networks: Initial competence, developmental refinement and experience statistics

Testolin, A., Zou, W. Y., & McClelland, J. L. (2020). Numerosity discrimination in deep neural networks: Initial competence, developmental refinement and experience statistics. Developmental Science

PDF document icon Testolin.et.al.-DevSci-2020.pdf — PDF document, 1.40 MB (1468640 bytes)

Poor numerical performance of guppies tested in a Skinner box

Gatto, E., Testolin, A., Bisazza, A., Zorzi, M., & Lucon-Xiccato, T. (2020). Poor numerical performance of guppies tested in a Skinner box. Scientific Reports, 10(1), 1-9.

PDF document icon Gatto_et_al-2020-Scientific_Reports.pdf — PDF document, 1.25 MB (1311924 bytes)

The Challenge of Modeling the Acquisition of Mathematical Concepts

Testolin, A. (2020). The challenge of modeling the acquisition of mathematical concepts. Frontiers in Human Neuroscience, 14.

PDF document icon Testolin - FrontHumNeurosc 2020.pdf — PDF document, 2.11 MB (2215396 bytes)

Visual sense of number vs. sense of magnitude in humans and machines

Testolin, A., Dolfi, S., Rochus, M., & Zorzi, M. (2020). Visual sense of number vs. sense of magnitude in humans and machines. Scientific reports, 10(1), 1-13.

PDF document icon Testolin_et_al-2020-Scientific_Reports.pdf — PDF document, 3.70 MB (3876567 bytes)