Marco Zorzi

Orcid: 0000-0002-4651-6390

According to our database1, Marco Zorzi authored at least 47 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2024
Large-scale Generative AI Models Lack Visual Number Sense.
CoRR, 2024

2023
A Developmental Approach for Training Deep Belief Networks.
Cogn. Comput., January, 2023

Investigating the Generative Dynamics of Energy-Based Neural Networks.
Proceedings of the Brain Informatics - 16th International Conference, 2023

2022
A developmental approach for training deep belief networks.
CoRR, 2022

Prediction of Neuropsychological Scores from Functional Connectivity Matrices Using Deep Autoencoders.
Proceedings of the Brain Informatics - 15th International Conference, 2022

2021
Augmented Reality as a research tool: investigating cognitive-motor dual-task during outdoor navigation.
Int. J. Hum. Comput. Stud., 2021

Learning Numerosity Representations with Transformers: Number Generation Tasks and Out-of-Distribution Generalization.
Entropy, 2021

A comparison of feature extraction methods for prediction of neuropsychological scores from functional connectivity data of stroke patients.
Brain Informatics, 2021

Assessment of Machine Learning Pipelines for Prediction of Behavioral Deficits from Brain Disconnectomes.
Proceedings of the Brain Informatics - 14th International Conference, 2021

2020
Sparse DCM for whole-brain effective connectivity from resting-state fMRI data.
NeuroImage, 2020

Long-Term Prediction of Physical Interactions: A Challenge for Deep Generative Models.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020

A Systematic Assessment of Feature Extraction Methods for Robust Prediction of Neuropsychological Scores from Functional Connectivity Data.
Proceedings of the Brain Informatics - 13th International Conference, 2020

2019
Brain controllability: Not a slam dunk yet.
NeuroImage, 2019

A Comparison of Shallow and Deep Learning Methods for Predicting Cognitive Performance of Stroke Patients From MRI Lesion Images.
Frontiers Neuroinformatics, 2019

On the difficulty of learning and predicting the long-term dynamics of bouncing objects.
CoRR, 2019

Perception of visual numerosity in humans and machines.
CoRR, 2019

Numerosity Representation in InfoGAN: An Empirical Study.
Proceedings of the Advances in Computational Intelligence, 2019

2018
QoE Multi-Stage Machine Learning for Dynamic Video Streaming.
IEEE Trans. Cogn. Commun. Netw., 2018

Warnings and caveats in brain controllability.
NeuroImage, 2018

2017
The Role of Architectural and Learning Constraints in Neural Network Models: A Case Study on Visual Space Coding.
Frontiers Comput. Neurosci., 2017

2016
Probabilistic Models and Generative Neural Networks: Towards an Unified Framework for Modeling Normal and Impaired Neurocognitive Functions.
Frontiers Comput. Neurosci., 2016

Learning Orthographic Structure With Sequential Generative Neural Networks.
Cogn. Sci., 2016

COBANETS: A new paradigm for cognitive communications systems.
Proceedings of the 2016 International Conference on Computing, 2016

2015
Robust Large-Scale Localization in 3D Point Clouds Revisited.
CoRR, 2015

Cognition-Based Networks: A New Perspective on Network Optimization Using Learning and Distributed Intelligence.
IEEE Access, 2015

2014
Are the neural correlates of subitizing and estimation dissociable? An fNIRS investigation.
NeuroImage, 2014

Cognition-based networks: Applying cognitive science to multimedia wireless networking.
Proceedings of the Proceeding of IEEE International Symposium on a World of Wireless, 2014

A machine learning approach to QoE-based video admission control and resource allocation in wireless systems.
Proceedings of the 13th Annual Mediterranean Ad Hoc Networking Workshop, 2014

2013
A reference-channel based methodology to improve estimation of event-related hemodynamic response from fNIRS measurements.
NeuroImage, 2013

A Computational and Empirical Investigation of Graphemes in Reading.
Cogn. Sci., 2013

2012
Paying Attention through Eye Movements: A Computational Investigation of the Premotor Theory of Spatial Attention.
J. Cogn. Neurosci., 2012

Space coding for sensorimotor transformations can emerge through unsupervised learning.
Cogn. Process., 2012

Assessment of sequential Boltmann machines on a lexical processing task.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

Parallelization of Deep Networks.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011
Distinct representations of numerical and non-numerical order in the human intraparietal sulcus revealed by multivariate pattern recognition.
NeuroImage, 2011

A new method based on ICBM152 head surface for probe placement in multichannel fNIRS.
NeuroImage, 2011

A methodology to improve estimation of stimulus-evoked hemodynamic response from fNIRS measurements.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
Multisensory Spatial Attention Deficits Are Predictive of Phonological Decoding Skills in Developmental Dyslexia.
J. Cogn. Neurosci., 2010

The Role of dopamine in the Maintenance of Working Memory in prefrontal Cortex Neurons: Input-Driven versus Internally-Driven Networks.
Int. J. Neural Syst., 2010

Through Neural Stimulation to Behavior Manipulation: A Novel Method for Analyzing Dynamical Cognitive Models.
Cogn. Sci., 2010

2009
Normal and Impaired Reflexive Orienting of Attention after Central Nonpredictive Cues.
J. Cogn. Neurosci., 2009

2008
Decoding Cognitive States from fMRI Data Using Support Vector Regression.
PsychNology J., 2008

Selective activation of the superior frontal gyrus in task-switching: An event-related fNIRS study.
NeuroImage, 2008

2006
Explicit versus Implicit Processing of Representational Space in Neglect: Dissociations in Accessing the Mental Number Line.
J. Cogn. Neurosci., 2006

Searching for Emergent Representations in Evolved Dynamical Systems.
Proceedings of the From Animals to Animats 9, 2006

2004
A tool for the integration of new VHDL-AMS models in SPICE.
Proceedings of the 2004 International Symposium on Circuits and Systems, 2004

2002
Associative Arithmetic with Boltzmann Machines: The Role of Number Representations.
Proceedings of the Artificial Neural Networks, 2002


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