What is he best known for?
The fields of study he is best known for:
- Cognition
- Neuroscience
- Schizophrenia
Philip R. Corlett focuses on Neuroscience, Psychosis, Cognition, Cognitive psychology and Perception.
In Neuroscience, Philip R. Corlett works on issues like Expectancy theory, which are connected to Biological neural network and Frontal lobe.
His Psychosis research focuses on Associative learning and how it connects with Functional magnetic resonance imaging.
His Cognition research is multidisciplinary, incorporating elements of Computational neuroscience, Schizophrenia, Glutamatergic and Mental illness.
Philip R. Corlett has researched Cognitive psychology in several fields, including Developmental psychology and Neuroimaging.
Philip R. Corlett integrates several fields in his works, including Perception and Bayesian inference.
His most cited work include:
- The role of default network deactivation in cognition and disease. (556 citations)
- Substantia nigra/ventral tegmental reward prediction error disruption in psychosis (430 citations)
- Disrupted prediction-error signal in psychosis: evidence for an associative account of delusions. (321 citations)
What are the main themes of his work throughout his whole career to date?
Psychosis, Cognitive psychology, Cognition, Schizophrenia and Psychiatry are his primary areas of study.
His Psychosis research incorporates elements of Functional magnetic resonance imaging, Audiology and Clinical psychology.
His Cognitive psychology research is multidisciplinary, relying on both Developmental psychology, Delusion, Cognitive neuroscience and Perception.
Philip R. Corlett regularly ties together related areas like Inference in his Perception studies.
Philip R. Corlett does research in Cognition, focusing on Functional neuroimaging specifically.
His studies in Schizophrenia integrate themes in fields like Ketamine, Neuroscience, Working memory and Placebo.
He most often published in these fields:
- Psychosis (35.97%)
- Cognitive psychology (35.97%)
- Cognition (22.30%)
What were the highlights of his more recent work (between 2019-2021)?
- Psychosis (35.97%)
- Cognitive psychology (35.97%)
- Cognition (22.30%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Psychosis, Cognitive psychology, Cognition, Perception and Schizophrenia.
His Psychosis study combines topics from a wide range of disciplines, such as Psychotherapist and Neuroscience.
His Attribution research extends to the thematically linked field of Cognitive psychology.
His work investigates the relationship between Cognition and topics such as Clinical psychology that intersect with problems in Young adult.
The study incorporates disciplines such as Abnormal psychology, Consciousness, Meta-analysis, Theory of mind and Reinforcement learning in addition to Perception.
The Schizophrenia study combines topics in areas such as Human biology, Distress, Hallucinating, Increased risk and Set.
Between 2019 and 2021, his most popular works were:
- Lesions causing hallucinations localize to one common brain network. (14 citations)
- Paranoia as a deficit in non-social belief updating (8 citations)
- Aberrant Salience, Information Processing, and Dopaminergic Signaling in People at Clinical High Risk for Psychosis. (7 citations)
In his most recent research, the most cited papers focused on:
- Cognition
- Neuroscience
- Schizophrenia
His primary areas of study are Psychosis, Cognitive psychology, Schizophrenia, Perception and Neuroscience.
His work deals with themes such as Psychotherapist and Distress, which intersect with Psychosis.
His Cognitive psychology research spans across into areas like Risk level, Prior probability, Weighting, Bayesian inference and Assertion.
His biological study spans a wide range of topics, including Human biology, Social psychology, Set, Paranoia and Increased risk.
His studies deal with areas such as Psychological intervention, Neuroplasticity, Cognition and Strong prior as well as Perception.
His Neuroscience study frequently links to other fields, such as Visual Hallucination.
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.
