What is he best known for?
The fields of study he is best known for:
- Cognition
- Neuroscience
- Hippocampus
Neuroscience, Temporal lobe, Episodic memory, Hippocampus and Hippocampal formation are his primary areas of study.
Temporal lobe and Recall are frequently intertwined in his study.
His work carried out in the field of Episodic memory brings together such families of science as Prefrontal cortex and Stimulation.
His work deals with themes such as Cognitive psychology and Cortex, which intersect with Hippocampus.
His Hippocampal formation study combines topics from a wide range of disciplines, such as Spatial knowledge, Spatial analysis, Amnesia, Neurogenesis and Cognitive map.
He does research in Recognition memory, focusing on Perirhinal cortex specifically.
His most cited work include:
- Tradeoffs between income, biodiversity, and ecosystem functioning during tropical rainforest conversion and agroforestry intensification (361 citations)
- Volumetry of Temporopolar, Perirhinal, Entorhinal and Parahippocampal Cortex from High-resolution MR Images: Considering the Variability of the Collateral Sulcus (272 citations)
- Impaired familiarity with preserved recollection after anterior temporal-lobe resection that spares the hippocampus (268 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Cognitive psychology, Neuroscience, Recognition memory, Perirhinal cortex and Temporal lobe.
His research in Cognitive psychology intersects with topics in Perception, Developmental psychology, Episodic memory, Semantics and Semantic memory.
He combines subjects such as Superior temporal sulcus and Visual memory with his study of Episodic memory.
Stefan Köhler has researched Recognition memory in several fields, including Object, Functional magnetic resonance imaging and Communication.
His Perirhinal cortex research includes themes of Recall, Neuropsychology, Stimulus, Visual perception and Brain mapping.
He usually deals with Temporal lobe and limits it to topics linked to Entorhinal cortex and Similarity.
He most often published in these fields:
- Cognitive psychology (62.50%)
- Neuroscience (54.17%)
- Recognition memory (54.17%)
What were the highlights of his more recent work (between 2017-2021)?
- Neuroscience (54.17%)
- Recognition memory (54.17%)
- Hippocampus (19.79%)
In recent papers he was focusing on the following fields of study:
Stefan Köhler focuses on Neuroscience, Recognition memory, Hippocampus, Perirhinal cortex and Cognitive psychology.
His research on Neuroscience often connects related topics like Similarity.
His research in Recognition memory focuses on subjects like Object, which are connected to Landmark, Parahippocampal gyrus and Brain mapping.
His Perirhinal cortex study is focused on Temporal lobe in general.
His study in Temporal lobe is interdisciplinary in nature, drawing from both Recall and Cognition, Neuropsychology.
In his research on the topic of Cognitive psychology, Animacy and Object is strongly related with Perception.
Between 2017 and 2021, his most popular works were:
- The neurobiological foundation of memory retrieval (35 citations)
- Unfolding the hippocampus: An intrinsic coordinate system for subfield segmentations and quantitative mapping. (24 citations)
- Late positive complex in event-related potentials tracks memory signals when they are decision relevant. (10 citations)
In his most recent research, the most cited papers focused on:
- Cognition
- Neuroscience
- Hippocampus
Stefan Köhler spends much of his time researching Neuroscience, Recognition memory, Object, Parahippocampal gyrus and Perirhinal cortex.
His work is connected to Hippocampus, Hippocampal formation, Engram, Encoding specificity principle and Cognition, as a part of Neuroscience.
His Hippocampal structure study in the realm of Hippocampus connects with subjects such as Unsupervised clustering.
His Hippocampal formation research is multidisciplinary, incorporating elements of Computational anatomy, Uncus and Coordinate system.
Stefan Köhler has included themes like N400, Event-related potential and Posterior parietal cortex in his Recognition memory study.
His Parahippocampal gyrus research is multidisciplinary, relying on both Landmark, Artificial intelligence, Brain mapping and Pattern recognition.
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.
