What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Cognition
- Perception
Leon Y. Deouell focuses on Neuroscience, Electroencephalography, Event-related potential, Cognition and Cognitive psychology.
Leon Y. Deouell brings together Neuroscience and Temporal lobe to produce work in his papers.
His Electroencephalography research integrates issues from Saccade, Eye tracking and Saccadic masking.
His Event-related potential research focuses on Vigilance and how it relates to Biological motion and Dichotic listening.
His studies deal with areas such as Facial recognition system, Perception, Face perception and Continuous flash suppression as well as Cognition.
His Cognitive psychology research is multidisciplinary, incorporating elements of Stimulus and Visual perception.
His most cited work include:
- Alterations in the BOLD fMRI signal with ageing and disease: a challenge for neuroimaging. (707 citations)
- Transient Induced Gamma-Band Response in EEG as a Manifestation of Miniature Saccades (640 citations)
- Transient Induced Gamma-Band Response in EEG as a Manifestation of Miniature Saccades (640 citations)
What are the main themes of his work throughout his whole career to date?
Leon Y. Deouell mainly focuses on Neuroscience, Electroencephalography, Cognitive psychology, Stimulus and Event-related potential.
In the subject of general Neuroscience, his work in Visual cortex, Brain mapping, Saccade and Visual hierarchy is often linked to Temporal lobe, thereby combining diverse domains of study.
The various areas that Leon Y. Deouell examines in his Electroencephalography study include Saccadic masking, Audiology and Pattern recognition.
His research in Cognitive psychology intersects with topics in Cognition and Communication.
His biological study spans a wide range of topics, including Visual perception, Stimulation and Artificial intelligence.
Leon Y. Deouell has included themes like Mismatch negativity and Vigilance in his Event-related potential study.
He most often published in these fields:
- Neuroscience (44.53%)
- Electroencephalography (42.97%)
- Cognitive psychology (27.34%)
What were the highlights of his more recent work (between 2015-2021)?
- Neuroscience (44.53%)
- Electroencephalography (42.97%)
- Visual perception (19.53%)
In recent papers he was focusing on the following fields of study:
His main research concerns Neuroscience, Electroencephalography, Visual perception, Stimulus and Visual cortex.
In the field of Neuroscience, his study on Visual hierarchy, Frontal cortex and Sensory system overlaps with subjects such as Entrainment and Predictability.
His research on Electroencephalography focuses in particular on Brain activity and meditation.
His work carried out in the field of Visual perception brings together such families of science as Electrocorticography, Cognitive psychology and Event-related potential.
His Stimulus research includes elements of Saccade, Neural activity and Artificial intelligence.
The study incorporates disciplines such as Eye tracking and Fixation in addition to Neural activity.
Between 2015 and 2021, his most popular works were:
- Neural mechanisms of rhythm-based temporal prediction: Delta phase-locking reflects temporal predictability but not rhythmic entrainment. (92 citations)
- Hierarchy of prediction errors for auditory events in human temporal and frontal cortex (67 citations)
- Systematic comparison between a wireless EEG system with dry electrodes and a wired EEG system with wet electrodes. (46 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Cognition
- Artificial intelligence
The scientist’s investigation covers issues in Neuroscience, Electroencephalography, Visual perception, Artificial intelligence and Visual cortex.
His study in the field of Frontal cortex, Temporal cortex and Auditory perception is also linked to topics like Entrainment and Predictability.
He studies Brain activity and meditation which is a part of Electroencephalography.
His Visual perception research is multidisciplinary, relying on both Stimulus, Dissociation and Cognitive psychology.
His research integrates issues of Saccade, Electrocorticography, Visual hierarchy and Visual Objects in his study of Stimulus.
His Artificial intelligence research incorporates elements of Computer vision and Pattern recognition.
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