What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Neuron
- Internal medicine
Dale Purves spends much of his time researching Neuroscience, Anatomy, Superior cervical ganglion, Nervous system and Ganglion.
Much of his study explores Neuroscience relationship to Postsynaptic potential.
The various areas that Dale Purves examines in his Anatomy study include Cerebral cortex, Staining, Acetylcholine, Tetrodotoxin and Visual cortex.
His work deals with themes such as Neural system and Stimulation, which intersect with Superior cervical ganglion.
In general Nervous system study, his work on Developing nervous system often relates to the realm of Nerve cells, thereby connecting several areas of interest.
His Ganglion research is multidisciplinary, incorporating perspectives in Autonomic ganglion, Synapse, Guinea pig and Body size.
His most cited work include:
- Elimination of synapses in the developing nervous system. (666 citations)
- Principles of neural development (513 citations)
- Trophic regulation of nerve cell morphology and innervation in the autonomic nervous system (313 citations)
What are the main themes of his work throughout his whole career to date?
Dale Purves focuses on Neuroscience, Anatomy, Perception, Artificial intelligence and Visual perception.
His Neuroscience study frequently draws connections to adjacent fields such as Postsynaptic potential.
His biological study focuses on Superior cervical ganglion.
His Perception research includes themes of Stimulus and Illusion, Cognitive psychology.
His biological study spans a wide range of topics, including Computer vision and Pattern recognition.
Dale Purves combines subjects such as Brightness and Luminance with his study of Visual perception.
He most often published in these fields:
- Neuroscience (38.14%)
- Anatomy (13.98%)
- Perception (14.41%)
What were the highlights of his more recent work (between 2004-2019)?
- Perception (14.41%)
- Cognitive psychology (8.90%)
- Artificial intelligence (9.53%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Perception, Cognitive psychology, Artificial intelligence, Visual perception and Cognitive science.
The study incorporates disciplines such as Stimulus, Illusion and Brightness in addition to Perception.
His study looks at the intersection of Cognitive psychology and topics like Data science with Feature detection.
His Artificial intelligence research integrates issues from Computer vision and Pattern recognition.
His work carried out in the field of Visual perception brings together such families of science as Artificial neural network, Geometry, Line, Vision science and Bayes' theorem.
His work on Neural ensemble and Axon as part of general Neuroscience study is frequently linked to Association, therefore connecting diverse disciplines of science.
Between 2004 and 2019, his most popular works were:
- Principles of Cognitive Neuroscience (130 citations)
- Understanding vision in wholly empirical terms (74 citations)
- The Müller-Lyer illusion explained by the statistics of image–source relationships (64 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Neuron
- Internal medicine
His scientific interests lie mostly in Perception, Cognitive psychology, Visual perception, Cognitive science and Illusion.
His research integrates issues of Small number, Motion, Artificial intelligence and Brightness in his study of Perception.
His research on Artificial intelligence frequently links to adjacent areas such as Computer vision.
His studies in Cognitive psychology integrate themes in fields like Prosody, Mode and Chemistry.
He has researched Visual perception in several fields, including Vision science, Geometry, Line and Bayes' theorem.
His Illusion study integrates concerns from other disciplines, such as Continuous light, Parsing, Communication and Presentation.
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