What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Statistics
- Internal medicine
His primary areas of investigation include Neuroscience, Cognitive psychology, Neuroeconomics, Brain mapping and Action.
As part of the same scientific family, Paul W. Glimcher usually focuses on Neuroscience, concentrating on Reinforcement learning and intersecting with Reinforcement.
His Cognitive psychology research includes elements of Developmental psychology and Ventromedial prefrontal cortex.
His biological study spans a wide range of topics, including Mathematical economics, Cognitive science, Positive economics and Economic model.
He has included themes like Parietal lobe, Social psychology, Prefrontal cortex and Posterior cingulate in his Brain mapping study.
His Action research is multidisciplinary, relying on both Stimulus–response model, Free will, Artificial intelligence and Mechanism.
His most cited work include:
- The neural correlates of subjective value during intertemporal choice (1387 citations)
- Neural Correlates of Decision Variables in Parietal Cortex (1362 citations)
- Midbrain dopamine neurons encode a quantitative reward prediction error signal. (1001 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Neuroscience, Cognitive psychology, Neuroeconomics, Cognitive science and Artificial intelligence.
His Cognitive psychology study incorporates themes from Social psychology, Intertemporal choice, Value, Value and Brain mapping.
The Value study combines topics in areas such as Choice set and Prefrontal cortex.
His Neuroeconomics research is multidisciplinary, incorporating elements of Social science, Action and Mathematical economics.
In the field of Artificial intelligence, his study on Normalization and Neural coding overlaps with subjects such as Context.
The study incorporates disciplines such as Midbrain and Reinforcement learning in addition to Dopamine.
He most often published in these fields:
- Neuroscience (27.06%)
- Cognitive psychology (21.76%)
- Neuroeconomics (18.24%)
What were the highlights of his more recent work (between 2018-2021)?
- Mathematical economics (6.47%)
- Normalization (10.59%)
- Neuroeconomics (18.24%)
In recent papers he was focusing on the following fields of study:
His main research concerns Mathematical economics, Normalization, Neuroeconomics, Psychiatry and Artificial intelligence.
His Mathematical economics study combines topics from a wide range of disciplines, such as Prospect theory and Computation.
His work deals with themes such as Computational neuroscience, Expected value, Neurophysiology and Speech recognition, which intersect with Normalization.
His Neuroeconomics research integrates issues from Independence of irrelevant alternatives, Bounded rationality, Cannabis and Discrete choice.
His Psychiatry research incorporates themes from Construct, Disease, Feature and Economic model.
His Artificial intelligence study combines topics in areas such as Normalization and Natural language processing.
Between 2018 and 2021, his most popular works were:
- Advancing environmental exposure assessment science to benefit society. (36 citations)
- Computational Markers of Risky Decision-making for Identification of Temporal Windows of Vulnerability to Opioid Use in a Real-world Clinical Setting. (10 citations)
- The Normalization of Consumer Valuations: Context-Dependent Preferences from Neurobiological Constraints (9 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Internal medicine
- Neuroscience
Paul W. Glimcher mainly focuses on Amygdala, Neuroscience, Lateral prefrontal cortex, Prefrontal cortex and Arousal.
He performs multidisciplinary study in Amygdala and Risk taking in his work.
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