What is she best known for?
The fields of study she is best known for:
- Cognition
- Artificial intelligence
- Neuroscience
Her primary areas of study are Neuroscience, Cognitive psychology, Prefrontal cortex, Hippocampal formation and Episodic memory.
Her Neuroscience study focuses mostly on Interference theory and Entorhinal cortex.
Her study focuses on the intersection of Cognitive psychology and fields such as Semantic memory with connections in the field of Visual memory and Long-term memory.
Alison R. Preston has researched Prefrontal cortex in several fields, including Hippocampus, Childhood memory and Encoding.
Her Hippocampal formation research incorporates themes from Parahippocampal gyrus and Perirhinal cortex, Recognition memory.
Her Episodic memory study combines topics in areas such as Functional magnetic resonance imaging, Superior parietal lobule and Posterior parietal cortex.
Her most cited work include:
- Interplay of Hippocampus and Prefrontal Cortex in Memory (684 citations)
- Hippocampal and ventral medial prefrontal activation during retrieval-mediated learning supports novel inference (290 citations)
- Hippocampal contribution to the novel use of relational information in declarative memory. (229 citations)
What are the main themes of her work throughout her whole career to date?
Her main research concerns Cognitive psychology, Neuroscience, Hippocampal formation, Episodic memory and Hippocampus.
Her work deals with themes such as Recognition memory, Functional magnetic resonance imaging, Inference and Semantic memory, which intersect with Cognitive psychology.
Her Neuroscience study frequently draws parallels with other fields, such as Parahippocampal gyrus.
Her Hippocampal formation research is multidisciplinary, incorporating perspectives in Relational memory and Perirhinal cortex.
Her research integrates issues of Developmental psychology, Recall, Neuroimaging and Encoding in her study of Episodic memory.
Her Hippocampus research includes elements of Associative learning and Novelty.
She most often published in these fields:
- Cognitive psychology (42.47%)
- Neuroscience (41.10%)
- Hippocampal formation (32.88%)
What were the highlights of her more recent work (between 2018-2021)?
- Cognitive psychology (42.47%)
- Episodic memory (28.77%)
- Neuroscience (41.10%)
In recent papers she was focusing on the following fields of study:
Cognitive psychology, Episodic memory, Neuroscience, Prefrontal cortex and Hippocampal formation are her primary areas of study.
Her Cognitive psychology study incorporates themes from Object and Inference.
Encoding and Memory functions is closely connected to Hippocampus in her research, which is encompassed under the umbrella topic of Episodic memory.
Her work in the fields of Transition, Generalization and Memory consolidation overlaps with other areas such as Sleep.
Her work in Prefrontal cortex tackles topics such as Concept learning which are related to areas like Dimensionality reduction and Ventromedial prefrontal cortex.
Her Hippocampal formation research includes themes of Relational memory and Cognitive development.
Between 2018 and 2021, her most popular works were:
- Ventromedial prefrontal cortex compression during concept learning (29 citations)
- Functional connectivity between memory and reward centers across task and rest track memory sensitivity to reward. (8 citations)
- Representations of common event structure in medial temporal lobe and frontoparietal cortex support efficient inference. (5 citations)
In her most recent research, the most cited papers focused on:
- Cognition
- Artificial intelligence
- Hippocampus
Her scientific interests lie mostly in Cognitive psychology, Prefrontal cortex, Mechanism, Concept learning and Dimensionality reduction.
Her Cognitive psychology research includes themes of Direction vector and Cognitive map.
Her Prefrontal cortex research is within the category of Neuroscience.
Mechanism is intertwined with Ventromedial prefrontal cortex, Compression, Representation, Focus and Representation in her study.
Alison R. Preston connects Concept learning with Process in her research.
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