What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Cognition
- Statistics
Timothy T. Rogers mostly deals with Cognition, Semantic memory, Cognitive psychology, Semantics and Neuroscience.
The concepts of his Cognition study are interwoven with issues in Cognitive science and Surprise.
His work deals with themes such as Generalization, Semantic dementia, Aphasia and Information processing, which intersect with Semantic memory.
His Cognitive psychology research includes themes of Hippocampal formation, Perirhinal cortex, Recognition memory, Temporal lobe and Functional specialization.
His Semantics study integrates concerns from other disciplines, such as Anterior temporal lobe, Communication, Cognitive map and Semantic cognition.
His work on Neuropsychology and Neuroimaging as part of general Neuroscience study is frequently connected to Event and SIGNAL, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His most cited work include:
- Where do you know what you know? The representation of semantic knowledge in the human brain. (1765 citations)
- Semantic Cognition: A Parallel Distributed Processing Approach (724 citations)
- Structure and deterioration of semantic memory: a neuropsychological and computational investigation. (702 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Cognitive psychology, Cognition, Semantic memory, Artificial intelligence and Cognitive science.
His biological study spans a wide range of topics, including Social psychology, Perception, Semantic dementia, Categorization and Lexical decision task.
His studies deal with areas such as Cognitive neuroscience of visual object recognition, Communication, Functional imaging, Semantic impairment and Object as well as Cognition.
His research integrates issues of Neuropsychology, Developmental psychology, Semantics, Feature and Temporal lobe in his study of Semantic memory.
His work deals with themes such as Natural language processing, Machine learning and Pattern recognition, which intersect with Artificial intelligence.
His Cognitive science research incorporates elements of Artificial neural network, Connectionism, Neuroimaging, Cognitive neuroscience and Semantic cognition.
He most often published in these fields:
- Cognitive psychology (45.08%)
- Cognition (37.70%)
- Semantic memory (37.70%)
What were the highlights of his more recent work (between 2016-2021)?
- Cognitive psychology (45.08%)
- Cognitive science (18.85%)
- Artificial intelligence (26.23%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Cognitive psychology, Cognitive science, Artificial intelligence, Cognition and Object.
The concepts of his Cognitive psychology study are interwoven with issues in Memory improvement, Perception and Fluency.
His Cognitive science research is multidisciplinary, incorporating perspectives in Neuropsychology, Cognitive neuroscience and Semantic cognition.
His Semantic cognition study incorporates themes from Anterior temporal lobe, Semantics and Neurocognitive.
His study in Cognition is interdisciplinary in nature, drawing from both Representation and Control.
Semantic memory, Sleep in non-human animals, Non-rapid eye movement sleep and Specific-information is closely connected to Inference in his research, which is encompassed under the umbrella topic of Object.
Between 2016 and 2021, his most popular works were:
- The neural and computational bases of semantic cognition (583 citations)
- A unified model of human semantic knowledge and its disorders. (73 citations)
- Human hippocampal replay during rest prioritizes weakly learned information and predicts memory performance. (71 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Cognition
- Statistics
His primary scientific interests are in Cognitive science, Cognitive psychology, Semantic cognition, Cognition and Reverse engineering.
In his study, which falls under the umbrella issue of Cognitive science, Neuroimaging, Semantic network, Artificial neural network and Communication is strongly linked to Neuropsychology.
Particularly relevant to Sequence learning is his body of work in Cognitive psychology.
His study focuses on the intersection of Semantic cognition and fields such as Cognitive neuroscience with connections in the field of Semantic control, Neurocognitive, Semantics and Anterior temporal lobe.
In his study, Semantic memory is inextricably linked to Nap, which falls within the broad field of Object.
His Semantic memory study frequently intersects with other fields, such as Inference.
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