What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Neuron
- Neuroscience
Frank S. Werblin mostly deals with Retina, Neuroscience, Retinal, Biophysics and Inner plexiform layer.
His study in Retina is interdisciplinary in nature, drawing from both Necturus maculosus, Receptive field and Electrophysiology.
His Necturus maculosus study combines topics in areas such as Neuroanatomy, Bipolar neuron, Neuron and Optic nerve.
His is involved in several facets of Neuroscience study, as is seen by his studies on Intrinsically photosensitive retinal ganglion cells, Giant retinal ganglion cells, Inhibitory postsynaptic potential and Neural Inhibition.
Many of his research projects under Retinal are closely connected to Rod with Rod, tying the diverse disciplines of science together.
The various areas that he examines in his Biophysics study include Reversal potential and Glutamate receptor, NMDA receptor, Synaptic cleft, Metabotropic glutamate receptor.
His most cited work include:
- Organization of the retina of the mudpuppy, Necturus maculosus. II. Intracellular recording. (1151 citations)
- Requirement for cholinergic synaptic transmission in the propagation of spontaneous retinal waves. (452 citations)
- Vertical interactions across ten parallel, stacked representations in the mammalian retina (429 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Retina, Neuroscience, Artificial intelligence, Biophysics and Computer vision.
His study on Retina also encompasses disciplines like
- Retinal and related Lateral inhibition,
- Electrophysiology that connect with fields like Neurotransmission.
Ganglion, Amacrine cell, Inhibitory postsynaptic potential, Excitatory postsynaptic potential and Visual system are the core of his Neuroscience study.
His work in the fields of Artificial intelligence, such as Cellular neural network and Artificial neural network, overlaps with other areas such as Universal Turing machine.
His Biophysics research integrates issues from Glutamate receptor, Endocrinology and Patch clamp.
In general Computer vision study, his work on Magnification often relates to the realm of Head and Low vision, thereby connecting several areas of interest.
He most often published in these fields:
- Retina (40.31%)
- Neuroscience (42.64%)
- Artificial intelligence (25.58%)
What were the highlights of his more recent work (between 2009-2021)?
- Computer vision (16.28%)
- Artificial intelligence (25.58%)
- Neuroscience (42.64%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Computer vision, Artificial intelligence, Neuroscience, Low vision and Magnification.
His Vision science study, which is part of a larger body of work in Computer vision, is frequently linked to Head, Visually impaired and Smartphone app, bridging the gap between disciplines.
His work in the fields of Artificial intelligence, such as Vision enhancement, intersects with other areas such as Visual motor, Function and Bubble.
Retina and Ganglion are the subjects of his Neuroscience studies.
His biological study spans a wide range of topics, including Light intensity and Second-order stimulus.
His work on Inner plexiform layer as part of general Retinal research is frequently linked to Edge detection and Motion detection, thereby connecting diverse disciplines of science.
Between 2009 and 2021, his most popular works were:
- Six different roles for crossover inhibition in the retina: Correcting the nonlinearities of synaptic transmission (110 citations)
- The retinal hypercircuit: a repeating synaptic interactive motif underlying visual function (45 citations)
- Methods and Apparatus for Vision Enhancement (26 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Neuron
- Neuroscience
Retina, Neuroscience, Binocular disparity, Magnification and Visual system are his primary areas of study.
His work in the fields of Amacrine cell overlaps with other areas such as Glycine receptor.
His Neuroscience study frequently links to other fields, such as Retinal.
The study incorporates disciplines such as Visual impairment, Augmented reality, Visual acuity and Simulator sickness in addition to Binocular disparity.
His research in Magnification intersects with topics in Computer graphics and Vision enhancement.
His work deals with themes such as Lateral geniculate nucleus, Receptive field, Scotopic vision, Contrast and Crossover, which intersect with Visual system.
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