Idx_DeFilippo

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Publications, Michele De Filippo

A new adaptive videogame for training attention and executive functions: design principles and initial validation

Montani, Veronica, Michele De Filippo De Grazia, and Marco Zorzi. "A new adaptive videogame for training attention and executive functions: design principles and initial validation." Frontiers in psychology 5 (2014).

PDF document icon MDZ attention videogame Frontiers 2014.pdf — PDF document, 1.50 MB (1571044 bytes)

Cognition-based networks: a new perspective on network optimization using learning and distributed intelligence

Zorzi, M., Zanella, A., Testolin, A. , De Filippo De Grazia, M., and Zorzi, M. (2015). Cognition-based networks: a new perspective on network optimization using learning and distributed intelligence. IEEE Access, vol. 3, pg. 1512–1530.

PDF document icon Zorzi_et_al-2015.pdf — PDF document, 5.74 MB (6017614 bytes)

Deep unsupervised learning on a desktop PC: A primer for cognitive scientists

Testolin, A., Stoianov, I., De Filippo De Grazia, M., & Zorzi, M. (2013). Deep unsupervised learning on a desktop PC: A primer for cognitive scientists. Frontiers in Psychology, 4(251).

PDF document icon Testolin et al. - 2013 - Deep unsupervised learning on a desktop PC A primer for cognitive scientists.pdf — PDF document, 1.07 MB (1126074 bytes)

La gara dei numeri: un videogioco educativo per il potenziamento delle abilità numeriche e il trattamento della discalculia

Berteletti, I., De Filippo De Grazia, M., & Zorzi, M. (2012). La gara dei numeri: un videogioco educativo per il potenziamento delle abilità numeriche e il trattamento della discalculia. Difficoltà in matematica, 9(1).

PDF document icon BDZ DiM 2012 Gara dei numeri.pdf — PDF document, 604 KB (619305 bytes)

Parallelization of Deep Networks

De Filippo, M., Stoianov, I., & Zorzi, M. (2012). Parallelization of Deep Networks. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning - ESANN

PDF document icon De Filippo, Stoianov, Zorzi. ESANN. 2012.pdf — PDF document, 273 KB (279624 bytes)

Space coding for sensorimotor transformations can emerge through unsupervised learning

De Filippo De Grazia, M., Cutini, S., Lisi, M., & Zorzi, M. (2012). Space coding for sensorimotor transformations can emerge through unsupervised learning. Cognitive processing, 13, 141-146. doi:10.1007/s10339-012-0478-4

PDF document icon De Filippo De Grazia et al. Cognitive processing. 2012.pdf — PDF document, 727 KB (745135 bytes)

The Role of Architectural and Learning Constraints in Neural Network Models: A Case Study on Visual Space Coding

Testolin A, De Filippo De Grazia M and Zorzi M (2017) The Role of Architectural and Learning Constraints in Neural Network Models: A Case Study on Visual Space Coding. Front. Comput. Neurosci. 11:13.

PDF document icon fncom-11-00013.pdf — PDF document, 3.97 MB (4161613 bytes)