Associative Arithmetic with Boltzmann Machines: The Role of Number Representations. - Ivilin Peev Stoianov; Marco Zorzi; Suzanna Becker; Carlo Umilta (ICANN, 2002)

A tool for the integration of new VHDL-AMS models in SPICE. - Marco Zorzi; Francesco Franzè; Nicolò Speciale; Guido Masetti (ISCAS (4), 2004)

Searching for Emergent Representations in Evolved Dynamical Systems. - Thomas Hope; Ivilin Peev Stoianov; Marco Zorzi (SAB, 2006)

Explicit versus Implicit Processing of Representational Space in Neglect: Dissociations in Accessing the Mental Number Line. - Konstantinos Priftis; Marco Zorzi; Francesca Meneghello 003; Roberto Marenzi; Carlo Umilta (J. Cogn. Neurosci., 2006)

Selective activation of the superior frontal gyrus in task-switching: An event-related fNIRS study. - Simone Cutini; Pietro Scatturin; Enrica Menon; Patrizia Silvia Bisiacchi; Luciano Gamberini; Marco Zorzi; Roberto Dell'Acqua (NeuroImage, 2008)

Decoding Cognitive States from fMRI Data Using Support Vector Regression. - Maria Grazia Di Bono; Marco Zorzi (PsychNology J., 2008)

Normal and Impaired Reflexive Orienting of Attention after Central Nonpredictive Cues. - Mario Bonato; Konstantinos Priftis; Roberto Marenzi; Marco Zorzi (J. Cogn. Neurosci., 2009)

Through Neural Stimulation to Behavior Manipulation: A Novel Method for Analyzing Dynamical Cognitive Models. - Thomas Hope; Ivilin Peev Stoianov; Marco Zorzi (Cogn. Sci., 2010)

The Role of dopamine in the Maintenance of Working Memory in prefrontal Cortex Neurons: Input-Driven versus Internally-Driven Networks. - Massimiliano Versace; Marco Zorzi (Int. J. Neural Syst., 2010)

Multisensory Spatial Attention Deficits Are Predictive of Phonological Decoding Skills in Developmental Dyslexia. - Andrea Facoetti; Anna Noemi Trussardi; Milena Ruffino; Maria Luisa Lorusso; Carmen Cattaneo; Raffaella Galli; Massimo Molteni; Marco Zorzi (J. Cogn. Neurosci., 2010)

A methodology to improve estimation of stimulus-evoked hemodynamic response from fNIRS measurements. - Fabio Scarpa; Sabrina Brigadoi; Simone Cutini; Pietro Scatturin; Marco Zorzi; Roberto Dell'Acqua; Giovanni Sparacino (EMBC, 2011)

A new method based on ICBM152 head surface for probe placement in multichannel fNIRS. - Simone Cutini; Pietro Scatturin; Marco Zorzi (NeuroImage, 2011)

Distinct representations of numerical and non-numerical order in the human intraparietal sulcus revealed by multivariate pattern recognition. - Marco Zorzi; Maria Grazia Di Bono; Wim Fias (NeuroImage, 2011)

Parallelization of Deep Networks. - Michele De Filippo De Grazia; Ivilin Peev Stoianov; Marco Zorzi (ESANN, 2012)

Assessment of sequential Boltmann machines on a lexical processing task. - Alberto Testolin; Alessandro Sperduti; Ivilin Peev Stoianov; Marco Zorzi (ESANN, 2012)

Space coding for sensorimotor transformations can emerge through unsupervised learning. - Michele De Filippo De Grazia; Simone Cutini; Matteo Lisi; Marco Zorzi (Cogn. Process., 2012)

Paying Attention through Eye Movements: A Computational Investigation of the Premotor Theory of Spatial Attention. - Marco Casarotti; Matteo Lisi; Carlo Umilta; Marco Zorzi (J. Cogn. Neurosci., 2012)

A Computational and Empirical Investigation of Graphemes in Reading. - Conrad Perry; Johannes C. Ziegler; Marco Zorzi (Cogn. Sci., 2013)

A reference-channel based methodology to improve estimation of event-related hemodynamic response from fNIRS measurements. - Fabio Scarpa; Sabrina Brigadoi; Simone Cutini; Pietro Scatturin; Marco Zorzi; Roberto Dell'Acqua; Giovanni Sparacino (NeuroImage, 2013)

A machine learning approach to QoE-based video admission control and resource allocation in wireless systems. - Alberto Testolin; Marco Zanforlin; Michele De Filippo De Grazia; Daniele Munaretto; Andrea Zanella; Marco Zorzi; Michele Zorzi (Med-Hoc-Net, 2014)

Cognition-based networks: Applying cognitive science to multimedia wireless networking. - Leonardo Badia; Daniele Munaretto; Alberto Testolin; Andrea Zanella; Marco Zorzi; Michele Zorzi (WoWMoM, 2014)

Are the neural correlates of subitizing and estimation dissociable? An fNIRS investigation. - Simone Cutini; Pietro Scatturin; Sara Basso Moro; Marco Zorzi (NeuroImage, 2014)

Cognition-Based Networks: A New Perspective on Network Optimization Using Learning and Distributed Intelligence. - Michele Zorzi; Andrea Zanella; Alberto Testolin; Michele De Filippo De Grazia; Marco Zorzi (IEEE Access, 2015)

Robust Large-Scale Localization in 3D Point Clouds Revisited. - Fabian Tschopp; Marco Zorzi (CoRR, 2015)

COBANETS: A new paradigm for cognitive communications systems. - Michele Zorzi; Andrea Zanella; Alberto Testolin; Michele De Filippo De Grazia; Marco Zorzi (ICNC, 2016)

Learning Orthographic Structure With Sequential Generative Neural Networks. - Alberto Testolin; Ivilin Peev Stoianov; Alessandro Sperduti; Marco Zorzi (Cogn. Sci., 2016)

Probabilistic Models and Generative Neural Networks: Towards an Unified Framework for Modeling Normal and Impaired Neurocognitive Functions. - Alberto Testolin; Marco Zorzi (Frontiers Comput. Neurosci., 2016)

The Role of Architectural and Learning Constraints in Neural Network Models: A Case Study on Visual Space Coding. - Alberto Testolin; Michele De Filippo De Grazia; Marco Zorzi (Frontiers Comput. Neurosci., 2017)

Warnings and caveats in brain controllability. - Chengyi Tu; Rodrigo P. Rocha; Maurizio Corbetta; Sandro Zampieri; Marco Zorzi; Samir Suweis (NeuroImage, 2018)

QoE Multi-Stage Machine Learning for Dynamic Video Streaming. - Michele De Filippo De Grazia; Daniel Zucchetto; Alberto Testolin; Andrea Zanella; Marco Zorzi; Michele Zorzi (IEEE Trans. Cogn. Commun. Netw., 2018)

Numerosity Representation in InfoGAN: An Empirical Study. - Andrea Zanetti; Alberto Testolin; Marco Zorzi; Pawel Wawrzynski (IWANN (2), 2019)

Perception of visual numerosity in humans and machines. - Alberto Testolin; Serena Dolfi; Mathijs Rochus; Marco Zorzi (CoRR, 2019)

On the difficulty of learning and predicting the long-term dynamics of bouncing objects. - Alberto Cenzato; Alberto Testolin; Marco Zorzi (CoRR, 2019)

A Comparison of Shallow and Deep Learning Methods for Predicting Cognitive Performance of Stroke Patients From MRI Lesion Images. - Sucheta Chauhan; Lovekesh Vig; Michele De Filippo De Grazia; Maurizio Corbetta; Shandar Ahmad; Marco Zorzi (Frontiers Neuroinformatics, 2019)

Brain controllability: Not a slam dunk yet. - Samir Suweis; Chengyi Tu; Rodrigo P. Rocha; Sandro Zampieri; Marco Zorzi; Maurizio Corbetta (NeuroImage, 2019)

A Systematic Assessment of Feature Extraction Methods for Robust Prediction of Neuropsychological Scores from Functional Connectivity Data. - Federico Calesella; Alberto Testolin; Michele De Filippo De Grazia; Marco Zorzi (BI, 2020)

Long-Term Prediction of Physical Interactions: A Challenge for Deep Generative Models. - Alberto Cenzato; Alberto Testolin; Marco Zorzi (LOD (1), 2020)

Sparse DCM for whole-brain effective connectivity from resting-state fMRI data. - Giulia Prando; Mattia Zorzi; Alessandra Bertoldo; Maurizio Corbetta; Marco Zorzi; Alessandro Chiuso (NeuroImage, 2020)

Assessment of Machine Learning Pipelines for Prediction of Behavioral Deficits from Brain Disconnectomes. - Marco Zorzi; Michele De Filippo De Grazia; Elvio Blini; Alberto Testolin (BI, 2021)

A comparison of feature extraction methods for prediction of neuropsychological scores from functional connectivity data of stroke patients. - Federico Calesella; Alberto Testolin; Michele De Filippo De Grazia; Marco Zorzi (Brain Informatics, 2021)

Learning Numerosity Representations with Transformers: Number Generation Tasks and Out-of-Distribution Generalization. - Tommaso Boccato; Alberto Testolin; Marco Zorzi (Entropy, 2021)

Augmented Reality as a research tool: investigating cognitive-motor dual-task during outdoor navigation. - Federica Nenna; Marco Zorzi; Luciano Gamberini (Int. J. Hum. Comput. Stud., 2021)

Prediction of Neuropsychological Scores from Functional Connectivity Matrices Using Deep Autoencoders. - Delfina Irarte; Alberto Testolin; Michele De Filippo De Grazia; Marco Zorzi (BI, 2022)

A developmental approach for training deep belief networks. - Matteo Zambra; Alberto Testolin; Michele De Filippo De Grazia; Marco Zorzi (CoRR, 2022)

Investigating the Generative Dynamics of Energy-Based Neural Networks. - Lorenzo Tausani; Alberto Testolin; Marco Zorzi (BI, 2023)

A Developmental Approach for Training Deep Belief Networks. - Matteo Zambra; Alberto Testolin; Marco Zorzi (Cogn. Comput., 2023)

Relative Local Signal Strength: The Impact of Normalization on the Analysis of Neuroimaging Data with Deep Learning. - Giovanni Donghi; Luca Pasa; Alberto Testolin; Marco Zorzi; Alessandro Sperduti; Nicolò Navarin (ICANN (8), 2024)

Large-scale Generative AI Models Lack Visual Number Sense. - Alberto Testolin; Kuinan Hou; Marco Zorzi (CoRR, 2024)

Estimating the distribution of numerosity and non-numerical visual magnitudes in natural scenes using computer vision. - Kuinan Hou; Marco Zorzi; Alberto Testolin (CoRR, 2024)