A5010366936- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Neural and Behavioral Psychology Studies
- Human-Automation Interaction and Safety
- Neuroscience and Neural Engineering
- Heart Rate Variability and Autonomic Control
- Olfactory and Sensory Function Studies
- Hearing Loss and Rehabilitation
- Multisensory perception and integration
- Advanced MRI Techniques and Applications
- Sleep and Work-Related Fatigue
- Gaze Tracking and Assistive Technology
- Motor Control and Adaptation
- Advanced Memory and Neural Computing
- Neural Networks and Applications
- Muscle activation and electromyography studies
- Air Traffic Management and Optimization
- Neuroscience and Music Perception
- Blind Source Separation Techniques
- Color perception and design
- Aesthetic Perception and Analysis
- Non-Invasive Vital Sign Monitoring
- Action Observation and Synchronization
- Visual perception and processing mechanisms
Sapienza University of Rome
2016-2025
Hangzhou Dianzi University
2018-2025
Fondazione Michelangelo
2022
Fondazione Santa Lucia
2010-2021
Istituti di Ricovero e Cura a Carattere Scientifico
2009-2021
Universidad de Sevilla
2021
University of Gdańsk
2021
University of Zagreb
2021
George Mason University
2021
Institute for Advanced Study
2021
The aim of this work is to characterize quantitatively the performance a body techniques in frequency domain for estimation cortical connectivity from high-resolution EEG recordings different operative conditions commonly encountered practice. Connectivity pattern estimators investigated are Directed Transfer Function (DTF), its modification known as direct DTF (dDTF) and Partial Coherence (PDC). Predefined patterns were simulated then retrieved by application DTF, dDTF, PDC methods....
The use of EEG biometrics, for the purpose automatic people recognition, has received increasing attention in recent years. Most current analyses rely on extraction features characterizing activity single brain regions, like power spectrum estimation, thus neglecting possible temporal dependencies between generated signals. However, important physiological information can be extracted from way different regions are functionally coupled. In this study, we propose a novel approach that fuses...
Adaptive Automation (AA) is a promising approach to keep the task workload demand within appropriate levels in order avoid both under- and over-load conditions, hence enhancing overall performance safety of human-machine system. The main issue on use AA how trigger solutions without affecting operative task. In this regard, passive Brain-Computer Interface (pBCI) systems are good candidate activate automation, since they able gather information about covert behavior (e.g., mental workload)...
The coordinated interactions between individuals are fundamental for the success of activities in some professional categories. We reported on brain-to-brain cooperative civil pilots during a simulated flight. demonstrated first time how combination neuroelectrical hyperscanning and intersubject connectivity could provide indicators sensitive to humans' degree synchronization under highly demanding task performed an ecological environment. Our results showed was able i) characterize...
One century after the first recording of human electroencephalographic (EEG) signals, EEG has become one most used neuroimaging techniques. The medical devices industry is now able to produce small and reliable systems, enabling a wide variety applications also with no-clinical aims, providing powerful tool neuroscientific research. However, these systems still suffer from critical limitation, consisting in use wet electrodes, that are uncomfortable require expertise install time user. In...
Air Traffic Management (ATM) will be more complex in the coming decades due to growth and increased complexity of aviation has improved order maintain safety. It is agreed that without significant improvement this domain, safety objectives defined by international organisations cannot achieved a risk incidents/accidents envisaged. Nowadays, computer science plays major role data management decisions made ATM. Nonetheless, despite this, Artificial Intelligence (AI), which one most researched...
Understanding the neural mechanisms responsible for human social interactions is difficult, since brain activities of two or more individuals have to be examined simultaneously and correlated with observed patterns. We introduce concept hyper-brain network, a connectivity pattern representing at once information flow among cortical regions single as well relations areas distinct brains. Graph analysis networks constructed from EEG scanning 26 couples playing Iterated Prisoner's Dilemma...