What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Artificial intelligence
- Functional magnetic resonance imaging
His scientific interests lie mostly in Neuroscience, Epilepsy, Electroencephalography, Temporal lobe and Brain mapping.
Hippocampus, Non-rapid eye movement sleep, Neuroimaging, Human brain and Electrophysiology are the subjects of his Neuroscience studies.
In his research on the topic of Human brain, Sensory system is strongly related with Brain activity and meditation.
His study of Epilepsy syndromes is a part of Epilepsy.
His work investigates the relationship between Temporal lobe and topics such as Speech perception that intersect with problems in Cognitive psychology and Lateralization of brain function.
His Brain mapping research is multidisciplinary, relying on both Precentral gyrus, Idiopathic generalized epilepsy, Juvenile myoclonic epilepsy, Anatomy and Transverse temporal gyrus.
His most cited work include:
- NeuroGrid: recording action potentials from the surface of the brain (426 citations)
- Slow cortical dynamics and the accumulation of information over long timescales (296 citations)
- Multisensory integration: methodological approaches and emerging principles in the human brain. (295 citations)
What are the main themes of his work throughout his whole career to date?
Thomas Thesen mainly focuses on Neuroscience, Epilepsy, Temporal lobe, Electroencephalography and Magnetic resonance imaging.
His Epilepsy research is multidisciplinary, incorporating perspectives in Lesion, Pathology and Resting state fMRI.
His work carried out in the field of Temporal lobe brings together such families of science as Temporal cortex, Cerebral cortex, Premovement neuronal activity, Magnetoencephalography and Ictal.
He has included themes like Olfaction, Electrophysiology, Functional magnetic resonance imaging and Beck Depression Inventory in his Electroencephalography study.
His studies in Magnetic resonance imaging integrate themes in fields like Brain mapping and Audiology.
His study in Brain mapping is interdisciplinary in nature, drawing from both Idiopathic generalized epilepsy and Anatomy.
He most often published in these fields:
- Neuroscience (74.81%)
- Epilepsy (42.75%)
- Temporal lobe (35.11%)
What were the highlights of his more recent work (between 2018-2021)?
- Neuroscience (74.81%)
- Temporal lobe (35.11%)
- Epilepsy (42.75%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Neuroscience, Temporal lobe, Epilepsy, Speech recognition and Cortical surface.
His work in the fields of Human brain, Neuroimaging and Functional neuroimaging overlaps with other areas such as Rhythm and Explicit memory.
His Temporal lobe research is multidisciplinary, incorporating elements of Neocortex, Ictal, Electroencephalography and Premovement neuronal activity.
His research ties Local field potential and Electroencephalography together.
His work deals with themes such as Functional connectivity, Hippocampal formation, Resting state fMRI, Magnetic resonance imaging and Pediatrics, which intersect with Epilepsy.
Thomas Thesen works mostly in the field of Speech recognition, limiting it down to concerns involving Neural decoding and, occasionally, Neural correlates of consciousness and Stereoelectroencephalography.
Between 2018 and 2021, his most popular works were:
- Computer modelling of connectivity change suggests epileptogenesis mechanisms in idiopathic generalised epilepsy. (10 citations)
- Resting state functional connectivity patterns associated with pharmacological treatment resistance in temporal lobe epilepsy. (9 citations)
- Neural correlates of unstructured motor behaviors. (5 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Artificial intelligence
- Cognition
Neural decoding, Speech recognition, Lateralization of brain function, Neural correlates of consciousness and Optical flow are his primary areas of study.
His Neural decoding study combines topics from a wide range of disciplines, such as Neural activity, Brain–computer interface, Support vector machine and Cortical surface.
His research is interdisciplinary, bridging the disciplines of Classifier and Speech recognition.
His Lateralization of brain function research includes elements of Resting state fMRI, Functional imaging, Biomarker and Temporal lobe, Epilepsy.
His Neural correlates of consciousness study frequently draws connections between related disciplines such as Stereoelectroencephalography.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
