What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Neuroscience
- Statistics
Jan-Mathijs Schoffelen spends much of his time researching Neuroscience, Magnetoencephalography, Electroencephalography, Rhythm and Brain activity and meditation.
Visual system, Visual perception, Stimulus and Electrophysiology are the subjects of his Neuroscience studies.
His Magnetoencephalography research includes themes of Coherence and Human brain.
His research integrates issues of Spatial filter, Cognition, Source localization and Brain function in his study of Electroencephalography.
Artificial intelligence is closely connected to Data science in his research, which is encompassed under the umbrella topic of Cognition.
Jan-Mathijs Schoffelen interconnects Lateralization of brain function, Eye tracking, Cortex, Occipital lobe and Posterior parietal cortex in the investigation of issues within Brain activity and meditation.
His most cited work include:
- FieldTrip: open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data (5038 citations)
- Modulation of neuronal interactions through neuronal synchronization (1057 citations)
- Visual Areas Exert Feedforward and Feedback Influences through Distinct Frequency Channels (690 citations)
What are the main themes of his work throughout his whole career to date?
Jan-Mathijs Schoffelen focuses on Neuroscience, Magnetoencephalography, Artificial intelligence, Cognitive psychology and Electroencephalography.
His Neuroscience study frequently links to other fields, such as Rhythm.
Jan-Mathijs Schoffelen works mostly in the field of Magnetoencephalography, limiting it down to topics relating to Context and, in certain cases, Sentence, Speech recognition, Constraint and Predictability.
His biological study deals with issues like Natural language processing, which deal with fields such as Comprehension.
The Cognitive psychology study combines topics in areas such as Control, Electrophysiology, Perception and Stroop effect.
His work in Stimulus addresses subjects such as Visual cortex, which are connected to disciplines such as Visual perception.
He most often published in these fields:
- Neuroscience (52.58%)
- Magnetoencephalography (39.18%)
- Artificial intelligence (21.13%)
What were the highlights of his more recent work (between 2017-2021)?
- Magnetoencephalography (39.18%)
- Neuroscience (52.58%)
- Cognitive psychology (20.62%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Magnetoencephalography, Neuroscience, Cognitive psychology, Brain activity and meditation and Stimulus.
His Magnetoencephalography study results in a more complete grasp of Electroencephalography.
The concepts of his Cognitive psychology study are interwoven with issues in Middle temporal gyrus, Cognition and Cognitive neuroscience.
His research in Brain activity and meditation intersects with topics in Speech processing, Working memory, Lateralization of brain function, Speech coding and Premotor cortex.
His Stimulus study incorporates themes from Single trial, Gamma power, Rhythm and Perception.
His study in Visual cortex is interdisciplinary in nature, drawing from both Modulation and Posterior parietal cortex.
Between 2017 and 2021, his most popular works were:
- Ghost interactions in MEG/EEG source space: A note of caution on inter-areal coupling measures. (102 citations)
- Integrated analysis of anatomical and electrophysiological human intracranial data. (46 citations)
- MEG-BIDS, the brain imaging data structure extended to magnetoencephalography (45 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Neuroscience
- Statistics
Jan-Mathijs Schoffelen mainly investigates Magnetoencephalography, Neuroscience, Electroencephalography, Cognitive psychology and Neuroimaging.
His studies deal with areas such as Context, Dorsum, Artificial intelligence, Software and Brain activity and meditation as well as Magnetoencephalography.
His Software study combines topics in areas such as Toolbox, Protocol, Intracranial Electroencephalography and Medical imaging.
By researching both Neuroscience and Network dynamics, Jan-Mathijs Schoffelen produces research that crosses academic boundaries.
His Electroencephalography research is multidisciplinary, incorporating elements of Frequency domain, Frequency analysis and Beamforming.
His work carried out in the field of Cognitive psychology brings together such families of science as Sentence and Middle temporal gyrus.
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