What is he best known for?
The fields of study he is best known for:
- Cognition
- Neuroscience
- Artificial intelligence
Don M. Tucker mainly investigates Electroencephalography, Neuroscience, Electrophysiology, Error-related negativity and Cognition.
His Electroencephalography research includes themes of Frontal lobe, Sampling, Spatial filter, Artificial intelligence and Scalp.
His work in the fields of Neuroscience, such as Neural control, Motor processes, Epilepsy and Theta activity, overlaps with other areas such as Response control.
His research integrates issues of Frontal cortex, Medial frontal cortex and Dynamic control in his study of Electrophysiology.
Don M. Tucker has researched Error-related negativity in several fields, including Neural system, Speech recognition, Error detection and correction and Perceptual-motor processes.
His biological study spans a wide range of topics, including Emotionality, Self-monitoring, Mood, Personality and Flexibility.
His most cited work include:
- Localization of a Neural System for Error Detection and Compensation (1095 citations)
- EEG coherency: I: statistics, reference electrode, volume conduction, Laplacians, cortical imaging, and interpretation at multiple scales (999 citations)
- Asymmetric neural control systems in human self-regulation (730 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Electroencephalography, Neuroscience, Cognitive psychology, Artificial intelligence and Cognition.
Don M. Tucker has researched Electroencephalography in several fields, including Scalp and Epilepsy.
Frontal lobe, Temporal lobe, Electrophysiology, Anterior cingulate cortex and Prefrontal cortex are among the areas of Neuroscience where the researcher is concentrating his efforts.
His Cognitive psychology study also includes fields such as
- Developmental psychology that connect with fields like Audiology, Mood, Anxiety and Arousal,
- Personality that intertwine with fields like Impulsivity.
His work in Artificial intelligence covers topics such as Pattern recognition which are related to areas like Artifact and Communication.
Don M. Tucker works mostly in the field of Cognition, limiting it down to topics relating to Expectancy theory and, in certain cases, N400, as a part of the same area of interest.
He most often published in these fields:
- Electroencephalography (31.32%)
- Neuroscience (24.18%)
- Cognitive psychology (18.13%)
What were the highlights of his more recent work (between 2011-2021)?
- Electroencephalography (31.32%)
- Neuroscience (24.18%)
- Artificial intelligence (17.03%)
In recent papers he was focusing on the following fields of study:
Don M. Tucker mainly focuses on Electroencephalography, Neuroscience, Artificial intelligence, Transcranial direct-current stimulation and Cognitive psychology.
His Electroencephalography research incorporates themes from Audiology and Epilepsy.
His study brings together the fields of Time course and Neuroscience.
His Artificial intelligence study combines topics in areas such as Eeg source localization, Computer vision and Pattern recognition.
Don M. Tucker interconnects Brain activity and meditation, Posterior cingulate, Brain function and Brain development in the investigation of issues within Cognitive psychology.
His Event-related potential research is multidisciplinary, incorporating perspectives in Developmental psychology, Modulation and Image resolution.
Between 2011 and 2021, his most popular works were:
- EEG source localization: Sensor density and head surface coverage. (155 citations)
- Regulatory considerations for the clinical and research use of transcranial direct current stimulation (tDCS): Review and recommendations from an expert panel (146 citations)
- Comparison of dense array EEG with simultaneous intracranial EEG for Interictal spike detection and localization (45 citations)
In his most recent research, the most cited papers focused on:
- Cognition
- Neuroscience
- Artificial intelligence
Don M. Tucker spends much of his time researching Electroencephalography, Neuroscience, Transcranial direct-current stimulation, Epilepsy and Dense array.
His work in Electroencephalography addresses issues such as Scalp, which are connected to fields such as Subdural electrodes.
His research on Neuroscience often connects related topics like Context.
His Transcranial direct-current stimulation research is multidisciplinary, relying on both Stimulus, Algorithm, Optimization problem and Electrode array.
His Optimization problem research includes themes of Communication, Reciprocity, Key, Least squares and Minimum-variance unbiased estimator.
His study in Temporal lobe is interdisciplinary in nature, drawing from both Electrophysiology, Contrast, Cortical dysplasia, Coherence and Abnormality.
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