What is he best known for?
The fields of study he is best known for:
- Neuron
- Neurotransmitter
- Neuroscience
His scientific interests lie mostly in Neuroscience, Excitatory postsynaptic potential, GABAergic, Inhibitory postsynaptic potential and Neocortex.
Shaul Hestrin mostly deals with Cerebral cortex in his studies of Neuroscience.
His Excitatory postsynaptic potential study integrates concerns from other disciplines, such as NMDA receptor, Electrophysiology and Anatomy.
His study looks at the relationship between NMDA receptor and topics such as Glutamate receptor, which overlap with Synapse and Neurotransmission.
GABAergic is closely attributed to Neuron in his study.
He has included themes like Synaptic fatigue, Excitatory synapse, Synaptic potential and Balance in his Neocortex study.
His most cited work include:
- Petilla terminology: nomenclature of features of GABAergic interneurons of the cerebral cortex (1104 citations)
- A network of fast-spiking cells in the neocortex connected by electrical synapses. (858 citations)
- Molecular and Physiological Diversity of Cortical Nonpyramidal Cells (607 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Neuroscience, Excitatory postsynaptic potential, Inhibitory postsynaptic potential, Neocortex and GABAergic.
In his study, Shaul Hestrin carries out multidisciplinary Neuroscience and Electrical Synapses research.
His study in Excitatory postsynaptic potential is interdisciplinary in nature, drawing from both NMDA receptor, Glutamate receptor, Patch clamp and Cortex.
His Inhibitory postsynaptic potential research focuses on gamma-Aminobutyric acid and how it connects with GABAA receptor.
As a member of one scientific family, Shaul Hestrin mostly works in the field of Neocortex, focusing on Excitatory synapse and, on occasion, Balance, Synaptic potential, Epilepsy and Pyramidal cell.
In his study, Central nervous system is strongly linked to Anatomy, which falls under the umbrella field of GABAergic.
He most often published in these fields:
- Neuroscience (79.31%)
- Excitatory postsynaptic potential (41.38%)
- Inhibitory postsynaptic potential (34.48%)
What were the highlights of his more recent work (between 2008-2020)?
- Neuroscience (79.31%)
- Visual cortex (12.07%)
- Inhibitory postsynaptic potential (34.48%)
In recent papers he was focusing on the following fields of study:
His main research concerns Neuroscience, Visual cortex, Inhibitory postsynaptic potential, Neocortex and Cerebral cortex.
His Neuroscience study focuses mostly on Sensory system, Optogenetics, Neuron, Cholinergic and Stimulation.
His work on Stimulation is being expanded to include thematically relevant topics such as Excitatory postsynaptic potential.
His biological study focuses on Neural Inhibition.
His studies deal with areas such as gamma-Aminobutyric acid and GABAergic as well as Neural Inhibition.
His Neocortex research is multidisciplinary, relying on both Cortex, Somatosensory system and Inward rectification.
Between 2008 and 2020, his most popular works were:
- New insights into the classification and nomenclature of cortical GABAergic interneurons (520 citations)
- Intracortical circuits of pyramidal neurons reflect their long-range axonal targets (251 citations)
- Subthreshold Mechanisms Underlying State-Dependent Modulation of Visual Responses (186 citations)
In his most recent research, the most cited papers focused on:
- Neuron
- Neurotransmitter
- Neuroscience
His primary areas of study are Neuroscience, Cortex, Nomenclature, Neuron and Categorization.
Visual perception, Cholinergic and Basal ganglia are the core of his Neuroscience study.
His studies in Visual perception integrate themes in fields like Depolarization, Membrane potential and Visual cortex.
His Cholinergic research is multidisciplinary, incorporating elements of Cerebral cortex, Inhibitory postsynaptic potential and Nicotinic agonist.
His Basal ganglia research integrates issues from Superior colliculus, Anatomy, Pyramidal Neuron and Presynaptic neuron.
His Nomenclature study spans across into subjects like Cluster analysis, Neuron types, GABAergic and Bayes' theorem.
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