What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Neuron
- Hippocampus
His primary areas of study are Neuroscience, Hippocampus, Hippocampal formation, Electrophysiology and Chemistry.
His Oscillation research extends to Neuroscience, which is thematically connected.
His Hippocampus research includes themes of Phase, Communication and Spatial memory.
His Hippocampal formation study combines topics from a wide range of disciplines, such as Sharp wave–ripple complexes, Excitatory postsynaptic potential, Episodic memory, Hippocampal replay and Cell type.
His research integrates issues of Nerve net, Neurotransmission and Premovement neuronal activity in his study of Excitatory postsynaptic potential.
His biological study deals with issues like Anatomy, which deal with fields such as Central nervous system.
His most cited work include:
- Neuronal Oscillations in Cortical Networks (4135 citations)
- Rhythms of the brain (3062 citations)
- Interneurons of the hippocampus (2967 citations)
What are the main themes of his work throughout his whole career to date?
György Buzsáki mainly investigates Neuroscience, Hippocampal formation, Hippocampus, Chemistry and Electrophysiology.
His work in Neocortex, Optogenetics, Excitatory postsynaptic potential, Entorhinal cortex and Dentate gyrus is related to Neuroscience.
His Excitatory postsynaptic potential study improves the overall literature in Inhibitory postsynaptic potential.
His research in Hippocampal formation intersects with topics in Long-term potentiation, Interneuron, Premovement neuronal activity and Electroencephalography.
In his research on the topic of Hippocampus, Oscillation is strongly related with Phase.
Chemistry is integrated with Stimulation, Depolarization and Extracellular in his research.
He most often published in these fields:
- Neuroscience (95.54%)
- Hippocampal formation (57.61%)
- Hippocampus (45.64%)
What were the highlights of his more recent work (between 2016-2021)?
- Neuroscience (95.54%)
- Hippocampal formation (57.61%)
- Optogenetics (18.26%)
In recent papers he was focusing on the following fields of study:
György Buzsáki mostly deals with Neuroscience, Hippocampal formation, Optogenetics, Hippocampus and Neocortex.
His multidisciplinary approach integrates Neuroscience and Chemistry in his work.
György Buzsáki interconnects Sharp wave, Memory consolidation, Premovement neuronal activity and Spatial memory in the investigation of issues within Hippocampal formation.
His Optogenetics research includes elements of Dentate gyrus, Pyramidal cell, Electrophysiology and Inhibitory postsynaptic potential.
His Hippocampus research incorporates elements of Phase, Spatial analysis, Contrast, Long-term potentiation and Cognitive map.
His Neocortex research is multidisciplinary, incorporating elements of Local field potential, Subiculum and Eye movement.
Between 2016 and 2021, his most popular works were:
- Direct effects of transcranial electric stimulation on brain circuits in rats and humans. (280 citations)
- Direct effects of transcranial electric stimulation on brain circuits in rats and humans. (280 citations)
- Learning-enhanced coupling between ripple oscillations in association cortices and hippocampus (165 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Neuron
- Internal medicine
His primary scientific interests are in Neuroscience, Hippocampal formation, Hippocampus, Optogenetics and Premovement neuronal activity.
Borrowing concepts from Chemistry, he weaves in ideas under Neuroscience.
His Hippocampal formation research focuses on subjects like Ripple, which are linked to Computational physics and Multielectrode array.
His Hippocampus research is multidisciplinary, incorporating elements of Spatial analysis, Emotional memory, Long evans, Long-term potentiation and Spatial memory.
György Buzsáki focuses mostly in the field of Optogenetics, narrowing it down to matters related to Sharp wave and, in some cases, Maze learning.
His studies deal with areas such as Observer, Artificial intelligence, Phase coding and Pattern recognition as well as Premovement neuronal activity.
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