What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Neuroscience
- Electroencephalography
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.
His most cited work include:
- Combining Brain-Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges (614 citations)
- Estimation of the cortical functional connectivity with the multimodal integration of high-resolution EEG and fMRI data by directed transfer function. (339 citations)
- Human Movement-Related Potentials vs Desynchronization of EEG Alpha Rhythm: A High-Resolution EEG Study (300 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Electroencephalography (54.28%)
- Brain–computer interface (33.04%)
- Artificial intelligence (31.86%)
What were the highlights of his more recent work (between 2013-2021)?
- Brain–computer interface (33.04%)
- Physical medicine and rehabilitation (10.62%)
- Rehabilitation (7.08%)
In recent papers he was focusing on the following fields of study:
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.
Between 2013 and 2021, his most popular works were:
- Brain–computer interface boosts motor imagery practice during stroke recovery (260 citations)
- Towards Noninvasive Hybrid Brain–Computer Interfaces: Framework, Practice, Clinical Application, and Beyond (100 citations)
- Proof of principle of a brain-computer interface approach to support poststroke arm rehabilitation in hospitalized patients: design, acceptability, and usability. (61 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Neuroscience
- Operating system
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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