What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Cognition
- Consciousness
Andrew A. Fingelkurts mainly focuses on Neuroscience, Electroencephalography, Cognition, Cognitive science and Cortex.
Neuroscience is represented through his Depression and Magnetoencephalography research.
His research in Electroencephalography is mostly focused on Brain activity and meditation.
His study in Cognition is interdisciplinary in nature, drawing from both Perception and Mechanism.
His biological study deals with issues like Consciousness, which deal with fields such as Binding problem, Self-organization, Artificial intelligence, Cognitive psychology and Conscience.
His study focuses on the intersection of Cortex and fields such as Electrophysiology with connections in the field of Lateralization of brain function, Central nervous system, Psychopathology and Suggestibility.
His most cited work include:
- Functional connectivity in the brain--is it an elusive concept? (198 citations)
- Making Complexity Simpler: Multivariability and Metastability in the Brain (185 citations)
- Nonstationary nature of the brain activity as revealed by EEG/MEG: methodological, practical and conceptual challenges (182 citations)
What are the main themes of his work throughout his whole career to date?
Andrew A. Fingelkurts focuses on Electroencephalography, Neuroscience, Consciousness, Cognition and Cognitive science.
Andrew A. Fingelkurts specializes in Electroencephalography, namely Brain activity and meditation.
As a part of the same scientific family, he mostly works in the field of Neuroscience, focusing on Alpha and, on occasion, Beta.
Andrew A. Fingelkurts has researched Consciousness in several fields, including Rehabilitation and Brain damage.
Andrew A. Fingelkurts interconnects Cognitive psychology, Stimulus, Magnetoencephalography, Binding problem and Brain mapping in the investigation of issues within Cognition.
His work in Cognitive science tackles topics such as Perception which are related to areas like Cognitive neuroscience.
He most often published in these fields:
- Electroencephalography (73.15%)
- Neuroscience (50.00%)
- Consciousness (28.70%)
What were the highlights of his more recent work (between 2014-2020)?
- Electroencephalography (73.15%)
- Neuroscience (50.00%)
- Cognitive science (23.15%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Electroencephalography, Neuroscience, Cognitive science, Consciousness and Cognitive psychology.
His study in the field of Alpha rhythm also crosses realms of Perspective.
His work is connected to Major depressive disorder, Depression and Traumatic brain damage, as a part of Neuroscience.
His Cognitive science research includes elements of Neurophysiology and Cognition.
His Cognition research includes themes of Property and Perception.
His Cognitive psychology research is multidisciplinary, incorporating elements of Cognitive skill and Mediation.
Between 2014 and 2020, his most popular works were:
- Altered structure of dynamic electroencephalogram oscillatory pattern in major depression. (69 citations)
- Topodynamics of metastable brains. (44 citations)
- Long-term meditation training induced changes in the operational synchrony of default mode network modules during a resting state (25 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Cognition
- Consciousness
Andrew A. Fingelkurts mostly deals with Electroencephalography, Neuroscience, Cognitive psychology, Embodied cognition and Depression.
His research on Electroencephalography focuses in particular on Wakefulness.
His works in Resting state fMRI and Functional connectivity are all subjects of inquiry into Neuroscience.
His Cognitive psychology research incorporates themes from Cognitive skill, Sense of agency and Default mode network.
His Embodied cognition research focuses on subjects like Topology, which are linked to Artificial intelligence.
His biological study spans a wide range of topics, including EEG-fMRI and Eeg oscillations.
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