What is she best known for?
The fields of study she is best known for:
- Neuroscience
- Cognition
- Artificial intelligence
Her primary scientific interests are in Neuroscience, Cognitive psychology, Cognition, Electroencephalography and Memoria.
Monica Fabiani frequently studies issues relating to Rhythm and Neuroscience.
Her research in the fields of Recall overlaps with other disciplines such as Von Restorff effect and Extant taxon.
Her Cognition research is multidisciplinary, incorporating elements of Neuroimaging and Anatomical connectivity.
Her study looks at the intersection of Electroencephalography and topics like Frontal lobe with Error-related negativity, Social psychology and Vigilance.
Her research in Memoria intersects with topics in Cognitive skill, Recognition memory, Prefrontal cortex, Video game and Elementary cognitive task.
Her most cited work include:
- To see or not to see: prestimulus alpha phase predicts visual awareness. (741 citations)
- The effects of video game playing on attention, memory, and executive control. (659 citations)
- Event-related brain potentials. (441 citations)
What are the main themes of her work throughout her whole career to date?
Neuroscience, Cognitive psychology, Cognition, Event-related optical signal and Neuroimaging are her primary areas of study.
Her studies in Brain activity and meditation, Electroencephalography, Electrophysiology, Human brain and Cortex are all subfields of Neuroscience research.
Her research in Electroencephalography tackles topics such as Audiology which are related to areas like Frontal lobe and Brain mapping.
Monica Fabiani has included themes like Working memory, Attentional control, Communication and Visual memory in her Cognitive psychology study.
She interconnects Developmental psychology and Video game in the investigation of issues within Cognition.
Her Developmental psychology research is multidisciplinary, relying on both Memoria, Recall and Stimulus.
She most often published in these fields:
- Neuroscience (33.33%)
- Cognitive psychology (24.51%)
- Cognition (23.04%)
What were the highlights of her more recent work (between 2013-2021)?
- Neuroscience (33.33%)
- Cognition (23.04%)
- Neuroimaging (12.25%)
In recent papers she was focusing on the following fields of study:
Monica Fabiani mostly deals with Neuroscience, Cognition, Neuroimaging, Artificial intelligence and Audiology.
Her Neuroscience research includes themes of Developmental psychology and Cardiorespiratory fitness.
Her study in the field of Effects of sleep deprivation on cognitive performance is also linked to topics like Control.
Her Neuroimaging research incorporates themes from Cognitive psychology, Temporal cortex, Normal aging, Speech perception and Childhood memory.
The concepts of her Cognitive psychology study are interwoven with issues in Eriksen flanker task and Conflict.
The various areas that she examines in her Artificial intelligence study include Signal-to-noise ratio, Kurtosis, Computer vision and Pattern recognition.
Between 2013 and 2021, her most popular works were:
- Battery-free, stretchable optoelectronic systems for wireless optical characterization of the skin (204 citations)
- Rugged and breathable forms of stretchable electronics with adherent composite substrates for transcutaneous monitoring (197 citations)
- Miniaturized Battery‐Free Wireless Systems for Wearable Pulse Oximetry (139 citations)
In her most recent research, the most cited papers focused on:
- Neuroscience
- Cognition
- Artificial intelligence
Monica Fabiani mainly focuses on Neuroscience, Artificial intelligence, Cardiorespiratory fitness, Cardiology and Internal medicine.
Her Brain activity and meditation, Electroencephalography, Visual cortex, Cerebral cortex and Posterior parietal cortex investigations are all subjects of Neuroscience research.
Her research in Brain activity and meditation intersects with topics in Hemodynamics, Functional magnetic resonance imaging and Premovement neuronal activity.
She interconnects Eddy current, Mri compatible and Biomedical engineering in the investigation of issues within Electroencephalography.
Her work is dedicated to discovering how Artificial intelligence, Pattern recognition are connected with Motion, Aliasing, Noise reduction and Fidelity and other disciplines.
Cognition covers Monica Fabiani research in Effects of sleep deprivation on cognitive performance.
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