What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Neuron
- Visual cortex
His scientific interests lie mostly in Neuroscience, Visual cortex, GABAergic, Stimulus and Human brain.
His studies in Inhibitory postsynaptic potential, Cortex, Extrastriate cortex, Cerebral cortex and Posterior parietal cortex are all subfields of Neuroscience research.
Andreas Burkhalter has included themes like Visual field, Receptive field and Laminar organization in his Visual cortex study.
His study explores the link between GABAergic and topics such as Neuron that cross with problems in Bayesian probability, Bayes' theorem, Cluster analysis and Categorization.
His research in Stimulus intersects with topics in Dendritic spine and Postsynaptic potential.
His Human brain research is multidisciplinary, incorporating elements of Axoplasmic transport, Anatomy, Perception, Contrast and Projection.
His most cited work include:
- Petilla terminology: nomenclature of features of GABAergic interneurons of the cerebral cortex (1104 citations)
- New insights into the classification and nomenclature of cortical GABAergic interneurons (520 citations)
- Three distinct families of GABAergic neurons in rat visual cortex. (421 citations)
What are the main themes of his work throughout his whole career to date?
Andreas Burkhalter spends much of his time researching Neuroscience, Visual cortex, Excitatory postsynaptic potential, Cortex and Anatomy.
GABAergic, Inhibitory postsynaptic potential, Axon, Extrastriate cortex and Sensory system are among the areas of Neuroscience where Andreas Burkhalter concentrates his study.
His GABAergic study integrates concerns from other disciplines, such as Neuropil, Calretinin, Parvalbumin and Postsynaptic potential.
His Visual cortex study incorporates themes from Cerebral cortex, Receptive field, Retrograde tracing and Infantile esotropia.
His Cortex research includes elements of Synaptic plasticity, Schaffer collateral and Hippocampus.
His work investigates the relationship between Anatomy and topics such as Ocular dominance column that intersect with problems in Strabismus, Macaque, Binocular vision and Monocular.
He most often published in these fields:
- Neuroscience (78.12%)
- Visual cortex (78.12%)
- Excitatory postsynaptic potential (21.88%)
What were the highlights of his more recent work (between 2016-2021)?
- Visual cortex (78.12%)
- Neuroscience (78.12%)
- Thalamus (4.69%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Visual cortex, Neuroscience, Thalamus, Spatial clustering and Muscarinic acetylcholine receptor.
His Visual cortex research incorporates elements of Active vision, Receptive field and Inhibitory postsynaptic potential, Excitatory postsynaptic potential.
His biological study spans a wide range of topics, including Perception, Neocortex, Cognition, Function and Laminar organization.
Particularly relevant to Cortex is his body of work in Neuroscience.
Cortex connects with themes related to Macaque in his study.
His research integrates issues of Entorhinal cortex, Extrastriate cortex and Amygdala in his study of Thalamus.
Between 2016 and 2021, his most popular works were:
- A Laminar Organization for Selective Cortico-Cortical Communication (46 citations)
- Spatial Clustering of Inhibition in Mouse Primary Visual Cortex (9 citations)
- Canonical and noncanonical features of the mouse visual cortical hierarchy (8 citations)
In his most recent research, the most cited papers focused on:
- Neuron
- Neuroscience
- Neurotransmitter
His main research concerns Visual cortex, Neuroscience, Excitatory postsynaptic potential, Inhibitory postsynaptic potential and Pattern recognition.
The concepts of his Visual cortex study are interwoven with issues in Laminar organization and Cluster analysis.
Andreas Burkhalter has researched Laminar organization in several fields, including Neocortex, Cognition, Perception and Function.
His Cluster analysis research is multidisciplinary, relying on both Postsynaptic Current, Muscarinic acetylcholine receptor and Thalamus.
His Pattern recognition research includes themes of Active vision, Receptive field, Artificial intelligence and Visual hierarchy.
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