What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Cognition
- Artificial intelligence
His main research concerns Neuroscience, Functional magnetic resonance imaging, Developmental psychology, Striatum and Ventral striatum.
His Neuroscience study combines topics from a wide range of disciplines, such as Deception and Human–computer interaction.
His Functional magnetic resonance imaging study frequently links to other fields, such as Brain mapping.
Samuel M. McClure combines subjects such as Intertemporal choice, Cognition, Posterior parietal cortex and Temporal discounting with his study of Ventral striatum.
His work deals with themes such as Prefrontal cortex and Orbitofrontal cortex, which intersect with Nucleus accumbens.
Samuel M. McClure usually deals with Prefrontal cortex and limits it to topics linked to Cognitive psychology and Cognitive science.
His most cited work include:
- Separate Neural Systems Value Immediate and Delayed Monetary Rewards (2311 citations)
- Neural Correlates of Behavioral Preference for Culturally Familiar Drinks (926 citations)
- Temporal Prediction Errors in a Passive Learning Task Activate Human Striatum (798 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Cognitive psychology, Cognition, Neuroscience, Intertemporal choice and Developmental psychology.
His Cognitive psychology research is multidisciplinary, incorporating perspectives in Functional neuroimaging, Ventral striatum, Prefrontal cortex and Reinforcement learning.
His Prefrontal cortex study frequently draws connections to adjacent fields such as Functional magnetic resonance imaging.
His work on Working memory, Dorsolateral prefrontal cortex and Anterior cingulate cortex as part of general Cognition research is often related to Control, thus linking different fields of science.
His research integrates issues of Temporal discounting and Impulsivity in his study of Intertemporal choice.
The concepts of his Developmental psychology study are interwoven with issues in Insula, Neural correlates of consciousness, Brain activity and meditation, Preference and Brain mapping.
He most often published in these fields:
- Cognitive psychology (45.36%)
- Cognition (27.84%)
- Neuroscience (26.80%)
What were the highlights of his more recent work (between 2017-2020)?
- Cognitive psychology (45.36%)
- Cognition (27.84%)
- Reinforcement learning (16.49%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Cognitive psychology, Cognition, Reinforcement learning, Dorsolateral prefrontal cortex and Artificial intelligence.
The Cognitive psychology study combines topics in areas such as Value, Hippocampus and Episodic memory.
His research in Cognition intersects with topics in Stimulus, Framing effect and Impulsivity.
In Stimulus, Samuel M. McClure works on issues like Ventral striatum, which are connected to Intertemporal choice.
His studies in Intertemporal choice integrate themes in fields like Preference and Posterior parietal cortex.
His Dorsolateral prefrontal cortex research is classified as research in Neuroscience.
Between 2017 and 2020, his most popular works were:
- On the Neural and Mechanistic Bases of Self-Control. (23 citations)
- Hippocampal pattern separation supports reinforcement learning. (18 citations)
- Joint modeling of reaction times and choice improves parameter identifiability in reinforcement learning models (14 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Cognition
- Artificial intelligence
Samuel M. McClure focuses on Reinforcement learning, Cognitive psychology, Machine learning, Artificial intelligence and Bayesian probability.
His Reinforcement learning research includes elements of Value, Object, Feature and Hippocampus.
His Cognitive psychology research is multidisciplinary, relying on both Cognition, Framing effect, Dorsolateral prefrontal cortex and Ventromedial prefrontal cortex.
He has researched Machine learning in several fields, including Categorization, Functional magnetic resonance imaging, Inferior frontal sulcus and Bayesian inference.
The Range and Prior probability research Samuel M. McClure does as part of his general Artificial intelligence study is frequently linked to other disciplines of science, such as Parameter identification problem and Estimation theory, therefore creating a link between diverse domains of science.
His Bayesian probability study frequently intersects with other fields, such as Q-learning.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
