What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Neuron
- Hippocampus
His main research concerns Neuroscience, Hippocampal formation, Hippocampus, Cannabinoid and Electrophysiology.
His Hippocampal formation research is multidisciplinary, incorporating elements of Short-term memory, Encoding and Neural Prosthesis.
When carried out as part of a general Hippocampus research project, his work on Hippocampal cell is frequently linked to work in Correct response, therefore connecting diverse disciplines of study.
His Cannabinoid study integrates concerns from other disciplines, such as Endocrinology and Cannabinoid receptor.
His work carried out in the field of Cannabinoid receptor brings together such families of science as Cyclase and Pharmacology.
The concepts of his Electrophysiology study are interwoven with issues in Matching to sample and Information processing.
His most cited work include:
- Cannabinoid physiology and pharmacology: 30 years of progress (509 citations)
- Effects of Chronic Treatment with Δ9-Tetrahydrocannabinol on Cannabinoid-Stimulated [35S]GTPγS Autoradiography in Rat Brain (275 citations)
- Distribution of spatial and nonspatial information in dorsal hippocampus (263 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Neuroscience, Hippocampal formation, Hippocampus, Artificial intelligence and Cognition.
Electrophysiology, Dentate gyrus, Sensory system, Prefrontal cortex and Encoding are among the areas of Neuroscience where Sam A. Deadwyler concentrates his study.
His research integrates issues of Short-term memory, Neurophysiology, Stimulation and Neural Prosthesis in his study of Hippocampal formation.
His Hippocampus research includes themes of Ampakine, Cannabinoid, Premovement neuronal activity and Epilepsy.
His Cannabinoid research includes elements of Endocrinology, Pharmacology and Cell biology.
The various areas that he examines in his Artificial intelligence study include Machine learning, Pattern recognition and Nonlinear system.
He most often published in these fields:
- Neuroscience (63.92%)
- Hippocampal formation (39.18%)
- Hippocampus (35.57%)
What were the highlights of his more recent work (between 2010-2019)?
- Neuroscience (63.92%)
- Hippocampal formation (39.18%)
- Hippocampus (35.57%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Neuroscience, Hippocampal formation, Hippocampus, Artificial intelligence and Cognition.
Prefrontal cortex, Neuron, Neuroprosthetics, Encoding and Nerve net are among the areas of Neuroscience where the researcher is concentrating his efforts.
The study incorporates disciplines such as Working memory, Neurophysiology, Stimulation and Memory functions in addition to Hippocampal formation.
Sam A. Deadwyler interconnects Closed loop, Premovement neuronal activity, Feed forward, Neurostimulation and Temporal lobe in the investigation of issues within Hippocampus.
His biological study spans a wide range of topics, including Machine learning, Nonlinear system and Pattern recognition.
His Cognition study incorporates themes from Neural ensemble and Microstimulation.
Between 2010 and 2019, his most popular works were:
- A cortical neural prosthesis for restoring and enhancing memory (204 citations)
- A Hippocampal Cognitive Prosthesis: Multi-Input, Multi-Output Nonlinear Modeling and VLSI Implementation (113 citations)
- Facilitation and Restoration of Cognitive Function in Primate Prefrontal Cortex by a Neuroprosthesis that Utilizes Minicolumn-Specific Neural Firing (83 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Neuron
- Artificial intelligence
His primary scientific interests are in Neuroscience, Hippocampal formation, Cognition, Prefrontal cortex and Neurophysiology.
His Encoding, Stimulation, Facilitation, Cerebral cortex and Temporal lobe study are his primary interests in Neuroscience.
His Encoding research integrates issues from Biological neural network, Hippocampus and Neural coding.
His Hippocampus research incorporates themes from Working memory, Short-term memory and Feature.
His research in Hippocampal formation intersects with topics in Nonlinear system and Neural Prosthesis.
His work deals with themes such as Nerve net, Neuron, Brain region and Primate, which intersect with Prefrontal cortex.
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