Febo Cincotti mainly investigates Electroencephalography, Artificial intelligence, Brain–computer interface, Neuroscience and Pattern recognition. His Electroencephalography research is mostly focused on the topic Brain activity and meditation. Febo Cincotti combines subjects such as Machine learning, Coherence and Computer vision with his study of Artificial intelligence.
His studies deal with areas such as Software, Motor recovery, Physical medicine and rehabilitation and Human–computer interaction as well as Brain–computer interface. His work deals with themes such as Estimator, Multivariate statistics, Communication and Autoregressive model, which intersect with Pattern recognition. His Speech recognition research includes themes of Classifier and Coherence.
Febo Cincotti mostly deals with Electroencephalography, Brain–computer interface, Artificial intelligence, Neuroscience and Pattern recognition. His Electroencephalography research incorporates themes from Neurophysiology, Cognition and Brain mapping. His work carried out in the field of Brain–computer interface brings together such families of science as Speech recognition, Physical medicine and rehabilitation and Human–computer interaction.
He works mostly in the field of Artificial intelligence, limiting it down to topics relating to Estimator and, in certain cases, Coherence, as a part of the same area of interest. His research in the fields of Cortex, Stimulus, Neuroimaging and Spinal cord overlaps with other disciplines such as Healthy subjects. The concepts of his Pattern recognition study are interwoven with issues in Multivariate statistics and Communication.
Febo Cincotti spends much of his time researching Brain–computer interface, Physical medicine and rehabilitation, Rehabilitation, Electroencephalography and Artificial intelligence. His biological study spans a wide range of topics, including Speech recognition, Usability and Audiology. His Physical medicine and rehabilitation study incorporates themes from Motor rehabilitation, Motor imagery, Neurorehabilitation and User-centered design.
His studies in Rehabilitation integrate themes in fields like Ankle, Biofeedback, Electromyography and Selection. His Electroencephalography study improves the overall literature in Neuroscience. Febo Cincotti has included themes like Estimator, Machine learning, Community structure, Brain mapping and Pattern recognition in his Artificial intelligence study.
Febo Cincotti mainly focuses on Brain–computer interface, Physical medicine and rehabilitation, Electroencephalography, Rehabilitation and Physical therapy. The study incorporates disciplines such as Modality, Human–computer interaction, Artificial intelligence and Jitter in addition to Brain–computer interface. His study in Artificial intelligence is interdisciplinary in nature, drawing from both Training period, Eeg data, Sensorimotor rhythm, Mental image and Audiology.
In his research on the topic of Physical medicine and rehabilitation, Occupational therapy and Input device is strongly related with User-centered design. Electroencephalography is a subfield of Neuroscience that Febo Cincotti investigates. His work carried out in the field of Physical therapy brings together such families of science as Workload, Motor imagery and Usability.
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Combining Brain-Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges
José del R. Millán;Rüdiger Rupp;Gernot Müller-Putz;Rod Murray-Smith.
Frontiers in Neuroscience (2010)
Estimation of the cortical functional connectivity with the multimodal integration of high-resolution EEG and fMRI data by directed transfer function.
Fabio Babiloni;Febo Cincotti;Claudio Babiloni;Filippo Carducci.
Human Movement-Related Potentials vs Desynchronization of EEG Alpha Rhythm: A High-Resolution EEG Study
Claudio Babiloni;Filippo Carducci;Febo Cincotti;Paolo M. Rossini.
Brain–computer interface boosts motor imagery practice during stroke recovery
Floriana Pichiorri;Giovanni Morone;Manuela Petti;Jlenia Toppi.
Annals of Neurology (2015)
Non-invasive brain-computer interface system: towards its application as assistive technology
Febo Cincotti;Donatella Mattia;Fabio Aloise;Simona Bufalari.
Brain Research Bulletin (2008)
Comparison of different cortical connectivity estimators for high-resolution EEG recordings.
Laura Astolfi;Febo Cincotti;Donatella Mattia;M. Grazia Marciani.
Human Brain Mapping (2007)
Computerized processing of EEG-EOG-EMG artifacts for multi-centric studies in EEG oscillations and event-related potentials.
D.V Moretti;F Babiloni;F Carducci;F Cincotti.
International Journal of Psychophysiology (2003)
Human cortical electroencephalography (EEG) rhythms during the observation of simple aimless movements: a high-resolution EEG study.
Claudio Babiloni;Fabio Babiloni;Filippo Carducci;Febo Cincotti.
A local neural classifier for the recognition of EEG patterns associated to mental tasks
J. del R Millan;J. Mourino;M. Franze;F. Cincotti.
IEEE Transactions on Neural Networks (2002)
Changes in Brain Activity During the Observation of TV Commercials by Using EEG, GSR and HR Measurements
Giovanni Vecchiato;Laura Astolfi;Fabrizio De Vico Fallani;Febo Cincotti.
Brain Topography (2010)
Profile was last updated on December 6th, 2021.
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