What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Artificial intelligence
- Statistics
His main research concerns Neuroscience, Stimulus, Electrophysiology, Visual cortex and Temporal cortex.
Striate cortex, Cognition, Perirhinal cortex, Prefrontal cortex and Premovement neuronal activity are subfields of Neuroscience in which his conducts study.
His Electrophysiology research also works with subjects such as
- Visual perception, which have a strong connection to Membrane potential and Operant conditioning,
- Second-order stimulus, which have a strong connection to Vigilance.
The Visual cortex study combines topics in areas such as Information theory and Speech recognition.
Barry J. Richmond combines subjects such as Principal component analysis, Artificial intelligence and Neuron with his study of Temporal cortex.
His study in the field of Oculomotor Muscle and Eye position also crosses realms of Improved method and Medial superior temporal area.
His most cited work include:
- Implantation of magnetic search coils for measurement of eye position: an improved method. (1526 citations)
- Unix-based multiple-process system, for real-time data acquisition and control (485 citations)
- Anterior cingulate: single neuronal signals related to degree of reward expectancy. (443 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Neuroscience, Stimulus, Artificial intelligence, Electrophysiology and Visual cortex.
His work is connected to Premovement neuronal activity, Temporal cortex, Prefrontal cortex, Neuron and Orbitofrontal cortex, as a part of Neuroscience.
His Stimulus study integrates concerns from other disciplines, such as Receptive field, Visual memory, Visual perception, Information theory and Principal component analysis.
His study focuses on the intersection of Artificial intelligence and fields such as Pattern recognition with connections in the field of Categorization.
His Electrophysiology research includes elements of Second-order stimulus and Reward system.
His biological study spans a wide range of topics, including Algorithm and Decoding methods.
He most often published in these fields:
- Neuroscience (62.50%)
- Stimulus (23.68%)
- Artificial intelligence (17.11%)
What were the highlights of his more recent work (between 2016-2021)?
- Neuroscience (62.50%)
- Artificial intelligence (17.11%)
- Premovement neuronal activity (9.21%)
In recent papers he was focusing on the following fields of study:
Neuroscience, Artificial intelligence, Premovement neuronal activity, Pattern recognition and Chemistry are his primary areas of study.
Orbitofrontal cortex, Perception, Rhinal cortex, Visual perception and Reward value are the core of his Neuroscience study.
His study in Perception is interdisciplinary in nature, drawing from both Perirhinal cortex and Two-alternative forced choice.
His Reward value study combines topics in areas such as Coding and Cognition.
Barry J. Richmond has researched Pattern recognition in several fields, including Inference and Categorization.
Barry J. Richmond carries out multidisciplinary research, doing studies in Stimulus and Japanese monkeys.
Between 2016 and 2021, his most popular works were:
- High-potency ligands for DREADD imaging and activation in rodents and monkeys. (37 citations)
- Reconstructing neuronal circuitry from parallel spike trains. (33 citations)
- Neurons in the monkey orbitofrontal cortex mediate reward value computation and decision-making. (8 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Statistics
- Artificial intelligence
Barry J. Richmond spends much of his time researching Neuroscience, Orbitofrontal cortex, Premovement neuronal activity, Optogenetics and Visual perception.
Many of his research projects under Neuroscience are closely connected to Causal link with Causal link, tying the diverse disciplines of science together.
His research integrates issues of Frontal regions and Lateral prefrontal cortex in his study of Orbitofrontal cortex.
His Premovement neuronal activity study incorporates themes from Agonist and Chemogenetics.
His research on Optogenetics often connects related topics like Neural activity.
His Visual perception study combines topics from a wide range of disciplines, such as Rhinal cortex, Categorization, Two-alternative forced choice and Set.
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