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Frontiers in Psychology|May 27, 2014
A new adaptive videogame for training attention and executive functions: design principles and initial validationVeronica Montani, Michele De Filippo De Grazia, Marco ZorziFrontiers in Computational Neuroscience|April 6, 2017
The Role of Architectural and Learning Constraints in Neural Network Models: A Case Study on Visual Space CodingAlberto Testolin, Michele De Filippo De Grazia, Marco ZorziFrontiers in Psychology|May 9, 2013
Deep Unsupervised Learning on a Desktop PC: A Primer for Cognitive ScientistsAlberto Testolin, Ivilin Stoianov, Michele De Filippo De Grazia, et al.Cognitive Processing|July 18, 2012
Space coding for sensorimotor transformations can emerge through unsupervised learningMichele De Filippo De Grazia, Simone Cutini, Matteo Lisi, et al.Brain Informatics|April 20, 2021
A comparison of feature extraction methods for prediction of neuropsychological scores from functional connectivity data of stroke patientsFederico Calesella, Alberto Testolin, Michele De Filippo De Grazia, et al.Brain Communications|November 12, 2025
Obesity accelerates brain ageing: a multimodal imaging studyFederico Vanni, Sebastiano Cinetto, Michele De Filippo De Grazia, et al.Brain : a Journal of Neurology|June 24, 2020
Post-stroke deficit prediction from lesion and indirect structural and functional disconnectionAlessandro Salvalaggio, Michele De Filippo De Grazia, Marco Zorzi, et al.Frontiers in Neuroinformatics|August 17, 2019
A Comparison of Shallow and Deep Learning Methods for Predicting Cognitive Performance of Stroke Patients From MRI Lesion ImagesSucheta Chauhan, Lovekesh Vig, Michele De Filippo De Grazia, et al.Brain Communications|December 3, 2021
A novel stroke lesion network mapping approach: improved accuracy yet still low deficit predictionLorenzo Pini, Alessandro Salvalaggio, Michele De Filippo De Grazia, et al.Neural Networks : the Official Journal of the International Neural Network Society|September 4, 2025
On the application of neural networks for structured domains to fMRI dataGiovanni Donghi, Luca Pasa, Michele De Filippo De Grazia, et al.Pageof 2