What is he best known for?
The fields of study he is best known for:
- Cognition
- Neuroscience
- Artificial intelligence
Paul J. Reber mostly deals with Cognitive psychology, Neuroscience, Dissociation, Working memory and Spatial memory.
His research in Cognitive psychology intersects with topics in Neural correlates of consciousness, Explicit memory, Implicit memory and Electroencephalography.
His biological study spans a wide range of topics, including Facial expression and Gaze.
Paul J. Reber combines subjects such as Categorization, Amnesia and Serial reaction time with his study of Dissociation.
His Working memory study combines topics from a wide range of disciplines, such as Perirhinal cortex, Recognition memory, Long-term memory and Visual memory.
His Spatial memory study integrates concerns from other disciplines, such as Implicit learning, Memory errors, Procedural memory, Episodic memory and Semantic memory.
His most cited work include:
- Neural Activity When People Solve Verbal Problems with Insight (648 citations)
- The human perirhinal cortex and recognition memory. (228 citations)
- Parallel brain systems for learning with and without awareness. (225 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Cognitive psychology, Cognition, Neuroscience, Implicit learning and Functional magnetic resonance imaging.
His studies in Cognitive psychology integrate themes in fields like Neural correlates of consciousness, Implicit memory, Categorization and Explicit memory.
Paul J. Reber usually deals with Explicit memory and limits it to topics linked to Dissociation and Serial reaction time and Amnesia.
His Cognition research is multidisciplinary, incorporating perspectives in Perception and Electroencephalography.
Paul J. Reber has included themes like Anterograde amnesia and Sequence learning in his Implicit learning study.
His Recognition memory research incorporates elements of Hippocampus and Visual memory.
He most often published in these fields:
- Cognitive psychology (57.33%)
- Cognition (25.33%)
- Neuroscience (24.00%)
What were the highlights of his more recent work (between 2013-2020)?
- Implicit learning (24.00%)
- Cognitive psychology (57.33%)
- Cognition (25.33%)
In recent papers he was focusing on the following fields of study:
Paul J. Reber mostly deals with Implicit learning, Cognitive psychology, Cognition, Sequence learning and Social psychology.
His research integrates issues of Statistical learning, Declarative memory, Animacy, Language acquisition and Referent in his study of Implicit learning.
Paul J. Reber undertakes interdisciplinary study in the fields of Cognitive psychology and Information integration through his research.
His work deals with themes such as Repetition and Cognitive science, which intersect with Cognition.
His biological study deals with issues like Implicit memory, which deal with fields such as Artificial grammar learning and Explicit knowledge.
His research in Social psychology tackles topics such as Event-related potential which are related to areas like Explicit memory and Categorization.
Between 2013 and 2020, his most popular works were:
- Implicit and explicit contributions to statistical learning. (87 citations)
- Benefits of Mindfulness Training for Patients With Progressive Cognitive Decline and Their Caregivers (62 citations)
- Sleep facilitates learning a new linguistic rule. (35 citations)
In his most recent research, the most cited papers focused on:
- Cognition
- Neuroscience
- Artificial intelligence
Paul J. Reber focuses on Implicit learning, Event-related potential, Social psychology, Cognitive psychology and Noun.
His Implicit learning study incorporates themes from Implicit memory, Sequence learning and Explicit knowledge.
Paul J. Reber is investigating Event-related potential as part of his Electroencephalography and Cognition and Event-related potential study.
Much of his study explores Social psychology relationship to Explicit memory.
His studies deal with areas such as Animacy, Language acquisition, Rule-based machine translation, Natural language and Phrase as well as Noun.
Paul J. Reber regularly links together related areas like Referent in his Animacy studies.
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