What is he best known for?
The fields of study he is best known for:
- Neuron
- Neuroscience
- Artificial intelligence
His scientific interests lie mostly in Neuroscience, Stomatogastric ganglion, Anatomy, Stomatogastric nervous system and Biophysics.
His Neuroscience research is multidisciplinary, incorporating elements of Neuropeptide and Neurotransmission.
His work carried out in the field of Stomatogastric ganglion brings together such families of science as Tonic, Histamine H1 receptor, Stimulation, Membrane potential and Histamine.
His study looks at the intersection of Anatomy and topics like Spiny lobster with Phase relationship.
The Stomatogastric nervous system study combines topics in areas such as Zoology, Crustacean, Gastric Mill and Artificial neural network.
Allen I. Selverston interconnects Crayfish and Optoelectronics, Blue light in the investigation of issues within Biophysics.
His most cited work include:
- Dynamical principles in neuroscience (599 citations)
- The stomatogastric nervous system: structure and function of a small neural network. (370 citations)
- Rapid killing of single neurons by irradiation of intracellularly injected dye. (334 citations)
What are the main themes of his work throughout his whole career to date?
Neuroscience, Stomatogastric ganglion, Central pattern generator, Neuron and Bursting are his primary areas of study.
His study brings together the fields of Rhythm and Neuroscience.
His Stomatogastric ganglion research includes themes of Depolarization, Stimulation, Membrane potential and Anatomy.
His research integrates issues of Electronic circuit, Coupling and Artificial intelligence in his study of Central pattern generator.
His Neuron research integrates issues from Synapse, Intracellular, Winner-take-all and Nervous system.
Allen I. Selverston usually deals with Bursting and limits it to topics linked to Biological system and Hodgkin–Huxley model.
He most often published in these fields:
- Neuroscience (66.39%)
- Stomatogastric ganglion (41.18%)
- Central pattern generator (22.69%)
What were the highlights of his more recent work (between 2004-2017)?
- Neuroscience (66.39%)
- Central pattern generator (22.69%)
- Stomatogastric ganglion (41.18%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Neuroscience, Central pattern generator, Stomatogastric ganglion, Biological neural network and Bursting.
His Neuroscience study integrates concerns from other disciplines, such as Chaotic, Rhythm and Communication.
His research in Central pattern generator intersects with topics in Electronic circuit, Electronic component, Topology, Control engineering and Mechanics.
The Stomatogastric ganglion study which covers Neuron that intersects with Synapse.
His studies deal with areas such as Neural system, Artificial neural network and Word as well as Biological neural network.
His studies in Bursting integrate themes in fields like Glutamatergic, Network dynamics and Picrotoxin.
Between 2004 and 2017, his most popular works were:
- Dynamical principles in neuroscience (599 citations)
- Invertebrate central pattern generator circuits (120 citations)
- A Neural Infrastructure for Rhythmic Motor Patterns (48 citations)
In his most recent research, the most cited papers focused on:
- Neuron
- Neuroscience
- Artificial intelligence
His primary scientific interests are in Neuroscience, Biological neural network, Central pattern generator, Stomatogastric ganglion and Sensory system.
His Neuroscience study frequently draws connections between adjacent fields such as Complex system.
His Biological neural network study incorporates themes from Artificial neural network, Models of neural computation and Electronic circuit.
His Central pattern generator research includes elements of Distributed computing, Topology and Computational model.
The study incorporates disciplines such as Synapse and Neuron in addition to Stomatogastric ganglion.
His work on Sensory Receptor Cells as part of general Sensory system study is frequently connected to Population, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
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