What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Neuron
- Artificial intelligence
His main research concerns Neuroscience, Brain mapping, Somatosensory system, Cortex and Inhibitory postsynaptic potential.
By researching both Neuroscience and International Affective Picture System, Rolf Kötter produces research that crosses academic boundaries.
His Brain mapping study combines topics in areas such as Neuroanatomy, Functional imaging, Relational database and Nerve conduction velocity.
His Somatosensory system research is multidisciplinary, incorporating perspectives in Apical dendrite and Medium spiny neuron.
In his study, which falls under the umbrella issue of Cortex, Macaque and Cerebral cortex is strongly linked to Disinhibition.
Rolf Kötter usually deals with Macaque and limits it to topics linked to Centrality and Nerve net.
His most cited work include:
- The Human Connectome: A Structural Description of the Human Brain (2084 citations)
- Network structure of cerebral cortex shapes functional connectivity on multiple time scales. (1337 citations)
- The anatomical basis of functional localization in the cortex (781 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Neuroscience, Artificial intelligence, Cortex, Barrel cortex and Somatosensory system.
His work on Neuroscience deals in particular with Excitatory postsynaptic potential, Prefrontal cortex, Biocytin, Macaque and Functional connectivity.
The study incorporates disciplines such as Primate cerebral cortex and Visual cortex in addition to Macaque.
His Artificial intelligence research is multidisciplinary, incorporating elements of Transformation, Machine learning, Graph and Electroencephalography.
His studies in Barrel cortex integrate themes in fields like Caged glutamate, Slice preparation and Bursting.
His Artificial neural network study integrates concerns from other disciplines, such as Functional integration and Dynamic network analysis.
He most often published in these fields:
- Neuroscience (50.00%)
- Artificial intelligence (19.79%)
- Cortex (13.54%)
What were the highlights of his more recent work (between 2009-2015)?
- Pattern recognition (2.08%)
- Web service (2.08%)
- Plug-in (2.08%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Pattern recognition, Web service, Plug-in, Information retrieval and Atlas.
His biological study spans a wide range of topics, including Brain activity and meditation, Electroencephalography, Interpretability, Artificial intelligence and Functional neuroimaging.
The Electroencephalography study combines topics in areas such as Neuroimaging, Resting state fMRI and Temporal resolution.
His Interpretability study incorporates themes from Modality and Blood-oxygen-level dependent, Functional magnetic resonance imaging.
Many of his Web service research pursuits overlap with Web application, Brain atlas, Interactive displays, Scalability and Fiducial points.
Plug-in is connected with Scalable Vector Graphics, Atlases as Topic, Data mining and Software in his research.
Between 2009 and 2015, his most popular works were:
- The Scalable Brain Atlas: Instant Web-Based Access to Public Brain Atlases and Related Content (135 citations)
- Connecting mean field models of neural activity to EEG and fMRI data. (77 citations)
- Cortical thickness is associated with gait disturbances in cerebral small vessel disease. (57 citations)
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