What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Neuroscience
- Cognition
Neuroscience, Cognitive psychology, Visual cortex, Communication and Functional magnetic resonance imaging are his primary areas of study.
His work in the fields of Visual system, Cognition and Brain region overlaps with other areas such as Action and White matter microstructure.
His study in Cognitive psychology is interdisciplinary in nature, drawing from both Working memory, Spatial memory, Perception and Audiology.
His work carried out in the field of Visual cortex brings together such families of science as Visual perception and Cortex.
His Communication study combines topics from a wide range of disciplines, such as Stimulus, Natural, Categorization, Visual Physiology and Brain mapping.
His Functional magnetic resonance imaging study combines topics in areas such as Flexibility, Extrastriate cortex, Cognitive science and Artificial intelligence.
His most cited work include:
- Circular analysis in systems neuroscience: the dangers of double dipping. (1981 citations)
- A new neural framework for visuospatial processing (777 citations)
- Scanning the horizon: towards transparent and reproducible neuroimaging research (595 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Neuroscience, Cognitive psychology, Artificial intelligence, Visual cortex and Perception.
He integrates several fields in his works, including Neuroscience and Population.
He focuses mostly in the field of Cognitive psychology, narrowing it down to topics relating to Visual perception and, in certain cases, Communication.
His research in Artificial intelligence intersects with topics in Natural language processing, Machine learning, Computer vision and Pattern recognition.
He has included themes like Receptive field, Cognitive neuroscience of visual object recognition, Functional magnetic resonance imaging and Form perception in his Visual cortex study.
His Fusiform face area research extends to Functional magnetic resonance imaging, which is thematically connected.
He most often published in these fields:
- Neuroscience (27.84%)
- Cognitive psychology (24.71%)
- Artificial intelligence (20.39%)
What were the highlights of his more recent work (between 2018-2021)?
- Cognitive psychology (24.71%)
- Neuroscience (27.84%)
- Visual cortex (20.00%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Cognitive psychology, Neuroscience, Visual cortex, Recall and Perception.
His Cognitive psychology research incorporates themes from Control and Punishment.
In his works, Chris I. Baker conducts interdisciplinary research on Neuroscience and Population.
His Visual cortex research incorporates elements of Representation, Speech recognition, Functional magnetic resonance imaging, Cortex and Hippocampus.
The study incorporates disciplines such as Voxel, Mental image and Visual memory in addition to Recall.
His biological study spans a wide range of topics, including Similarity, Categorization and Artificial intelligence.
Between 2018 and 2021, his most popular works were:
- Scene Perception in the Human Brain. (46 citations)
- Drawings of real-world scenes during free recall reveal detailed object and spatial information in memory (31 citations)
- Distinct subdivisions of human medial parietal cortex support recollection of people and places. (26 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Neuroscience
- Cognition
The scientist’s investigation covers issues in Functional magnetic resonance imaging, Visual cortex, Perception, Cognitive psychology and Recall.
His Functional magnetic resonance imaging research integrates issues from Transcranial magnetic stimulation, Visual space, Fusiform face area, Facial expression and Neuroimaging.
His study focuses on the intersection of Visual cortex and fields such as Similarity with connections in the field of Speech recognition, Contrast, Encoding, Mental image and Voxel.
His Perception research is multidisciplinary, incorporating perspectives in Categorization, Artificial intelligence and Spatial memory.
His research integrates issues of Spatial analysis and Free recall in his study of Artificial intelligence.
His Cognitive psychology study integrates concerns from other disciplines, such as Representation, Object, Semantic similarity, Human brain and Neural activity.
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