What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Artificial intelligence
- Cognition
His primary scientific interests are in Neuroscience, Cognitive psychology, Functional magnetic resonance imaging, Ventral striatum and Prefrontal cortex.
His study in the field of Ventromedial prefrontal cortex, Brain mapping and Striatum also crosses realms of Basal ganglia.
His work deals with themes such as Orbitofrontal cortex, Reinforcement and Reinforcement learning, which intersect with Cognitive psychology.
His Functional magnetic resonance imaging research includes elements of Brain activity and meditation, Functional imaging and Anticipation.
His Anticipation study integrates concerns from other disciplines, such as Anterior cingulate cortex and Amygdala.
His Ventral striatum research incorporates elements of Opponent process and Temporal difference learning.
His most cited work include:
- Empathy for Pain Involves the Affective but not Sensory Components of Pain (2808 citations)
- Cortical substrates for exploratory decisions in humans (1552 citations)
- Empathic neural responses are modulated by the perceived fairness of others (1229 citations)
What are the main themes of his work throughout his whole career to date?
Neuroscience, Cognitive psychology, Functional magnetic resonance imaging, Cognition and Social psychology are his primary areas of study.
His Prefrontal cortex, Chronic pain, Insula, Anterior cingulate cortex and Brain mapping study are his primary interests in Neuroscience.
His Cognitive psychology research is multidisciplinary, relying on both Context, Striatum, Orbitofrontal cortex, Perception and Reinforcement learning.
His work on Ventral striatum as part of general Striatum research is frequently linked to Slowness and Movement, thereby connecting diverse disciplines of science.
As a part of the same scientific study, Ben Seymour usually deals with the Functional magnetic resonance imaging, concentrating on Amygdala and frequently concerns with Ventromedial prefrontal cortex.
His work on Punishment as part of general Social psychology research is often related to Behavioural sciences, thus linking different fields of science.
He most often published in these fields:
- Neuroscience (47.06%)
- Cognitive psychology (36.60%)
- Functional magnetic resonance imaging (25.49%)
What were the highlights of his more recent work (between 2017-2020)?
- Neuroscience (47.06%)
- Cognitive psychology (36.60%)
- Functional connectivity (11.11%)
In recent papers he was focusing on the following fields of study:
Ben Seymour mainly focuses on Neuroscience, Cognitive psychology, Functional connectivity, Reinforcement learning and Artificial intelligence.
His work carried out in the field of Neuroscience brings together such families of science as Response bias and Pain perception.
Ben Seymour works mostly in the field of Cognitive psychology, limiting it down to topics relating to Perception and, in certain cases, Control, Sensory system, Harm and Ventromedial prefrontal cortex.
The various areas that Ben Seymour examines in his Functional connectivity study include Working memory and Functional magnetic resonance imaging.
The Reinforcement learning study combines topics in areas such as Cognition, Cognitive science, Face, Robot and Reinforcement.
His Anterior cingulate cortex research is multidisciplinary, incorporating perspectives in Insula and Stria terminalis, Nucleus.
Between 2017 and 2020, his most popular works were:
- A prediction model of working memory across health and psychiatric disease using whole-brain functional connectivity. (29 citations)
- A prediction model of working memory across health and psychiatric disease using whole-brain functional connectivity. (29 citations)
- Pain: A Precision Signal for Reinforcement Learning and Control. (17 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Artificial intelligence
- Cognition
The scientist’s investigation covers issues in Set, Cognitive psychology, Perception, Reinforcement learning and Cognition.
His Set study frequently involves adjacent topics like Working memory.
His studies in Cognitive psychology integrate themes in fields like Ventromedial prefrontal cortex and Amygdala.
His Cognition study incorporates themes from Brain activity and meditation, Control, Sensory system and Harm.
His Brain activity and meditation study improves the overall literature in Neuroscience.
Neuroscience is a component of his Inferior frontal gyrus, Functional brain, Posterior cingulate, Resting state fMRI and Major depressive disorder studies.
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.
