What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Hippocampus
- Artificial intelligence
His scientific interests lie mostly in Neuroscience, Hippocampus, Place cell, Hippocampal formation and Spatial view cells.
When carried out as part of a general Neuroscience research project, his work on Electrophysiology, Neuroanatomy and Neurophysiology is frequently linked to work in Communication channel, therefore connecting diverse disciplines of study.
His Hippocampus study frequently draws connections to other fields, such as Brain mapping.
His Place cell research is multidisciplinary, incorporating perspectives in Stimulus, Fascia dentata, Geometry and Head direction cells.
His Hippocampal formation study combines topics from a wide range of disciplines, such as Synaptic fatigue, Electroencephalography, Memoria, Sensory Receptor Cells and Episodic memory.
His study on Spatial view cells also encompasses disciplines like
- Cognitive map together with Spatial memory, Latent learning and Spatial cognition,
- Set that intertwine with fields like Sensory cue and Discrimination learning.
His most cited work include:
- The Hippocampus as a Cognitive Map (7811 citations)
- Place navigation impaired in rats with hippocampal lesions (5321 citations)
- The hippocampus as a spatial map. Preliminary evidence from unit activity in the freely-moving rat (4157 citations)
What are the main themes of his work throughout his whole career to date?
Neuroscience, Hippocampal formation, Hippocampus, Place cell and Cognitive map are his primary areas of study.
Many of his studies on Neuroscience apply to Head direction cells as well.
His Hippocampal formation study also includes
- Artificial intelligence together with Computer vision and Pattern recognition,
- Cognitive science that intertwine with fields like Spatial cognition.
His Hippocampus research incorporates themes from Recognition memory and Electroencephalography.
His studies in Place cell integrate themes in fields like Spatial view cells, Representation, Artificial neural network and Set.
His Cognitive map study is related to the wider topic of Cognition.
He most often published in these fields:
- Neuroscience (62.59%)
- Hippocampal formation (46.04%)
- Hippocampus (43.88%)
What were the highlights of his more recent work (between 2010-2021)?
- Neuroscience (62.59%)
- Hippocampal formation (46.04%)
- Hippocampus (43.88%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Neuroscience, Hippocampal formation, Hippocampus, Path integration and Geometry.
His research on Neuroscience frequently links to adjacent areas such as Eye tracking.
John O'Keefe is interested in Place cell, which is a branch of Hippocampal formation.
His work carried out in the field of Place cell brings together such families of science as Motion perception, Sensory cue and Orientation.
His study in Hippocampus is interdisciplinary in nature, drawing from both Sensory system, Information processing, Cognitive science, Neuroimaging and Cognitive map.
His studies deal with areas such as Class and Head direction cells as well as Path integration.
Between 2010 and 2021, his most popular works were:
- Fully integrated silicon probes for high-density recording of neural activity (733 citations)
- Space in the brain: how the hippocampal formation supports spatial cognition (281 citations)
- How vision and movement combine in the hippocampal place code (219 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Artificial intelligence
- Hippocampus
The scientist’s investigation covers issues in Hippocampal formation, Path integration, Neuroscience, Place cell and Hippocampus.
His research investigates the connection between Hippocampal formation and topics such as Novelty that intersect with problems in Machine learning, Biological system and Grid.
John O'Keefe mostly deals with Spatial cognition in his studies of Neuroscience.
His Place cell research includes elements of Local field potential and Artificial intelligence.
His work deals with themes such as Arousal, Boundary and Electroencephalography, which intersect with Hippocampus.
His Boundary cell study integrates concerns from other disciplines, such as Cognition, Neural coding and Head direction cells.
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