What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Neuroscience
- Cognition
Her primary areas of study are Neuroscience, Visual perception, Rhythm, Human brain and Perception.
Her Visual perception study combines topics in areas such as Cognitive psychology, Visual cortex and Fixation.
Her Rhythm research incorporates themes from Electrophysiology, Cognition and Electroencephalography.
Her Electrophysiology research integrates issues from Alpha wave, Photic Stimulation and Developmental psychology.
Her Human brain research is multidisciplinary, incorporating elements of Representation, Functional magnetic resonance imaging, Cognitive science and Visual attention.
Her research in Computer vision intersects with topics in Retrosplenial cortex and Categorization, Artificial intelligence.
Her most cited work include:
- To see or not to see: prestimulus alpha phase predicts visual awareness. (741 citations)
- Neural correlates of change detection and change blindness. (350 citations)
- Pulsed out of awareness: EEG alpha oscillations represent a pulsed-inhibition of ongoing cortical processing (298 citations)
What are the main themes of her work throughout her whole career to date?
Her primary areas of investigation include Artificial intelligence, Cognitive psychology, Neuroscience, Perception and Pattern recognition.
Her studies in Artificial intelligence integrate themes in fields like Communication, Computer vision and Scene statistics.
Her biological study spans a wide range of topics, including Social psychology, Visual cortex, Psychophysics and Attentional control.
Her research on Neuroscience often connects related topics like Rhythm.
In the subject of general Perception, her work in Visual perception is often linked to Task, thereby combining diverse domains of study.
Her research in Pattern recognition tackles topics such as Human brain which are related to areas like Cognitive science.
She most often published in these fields:
- Artificial intelligence (35.04%)
- Cognitive psychology (27.74%)
- Neuroscience (25.55%)
What were the highlights of her more recent work (between 2015-2021)?
- Artificial intelligence (35.04%)
- Pattern recognition (16.06%)
- Communication (15.33%)
In recent papers she was focusing on the following fields of study:
Diane M. Beck mostly deals with Artificial intelligence, Pattern recognition, Communication, Neuroscience and Human brain.
Her study in the field of Categorization and Object is also linked to topics like Task.
Her Pattern recognition research includes themes of Artificial neural network, Stimulus, Representation, Visual perception and Cortex.
Her work deals with themes such as Object and Natural, which intersect with Communication.
Diane M. Beck conducts interdisciplinary study in the fields of Neuroscience and Peripheral through her works.
Diane M. Beck combines subjects such as Inferior parietal lobule, Hippocampus, Cognitive science and Episodic memory with her study of Human brain.
Between 2015 and 2021, her most popular works were:
- Distinct contributions of functional and deep neural network features to representational similarity of scenes in human brain and behavior. (68 citations)
- Two Distinct Scene-Processing Networks Connecting Vision and Memory (60 citations)
- Visual Scenes Are Categorized by Function (57 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Neuroscience
- Cognition
Diane M. Beck spends much of her time researching Artificial intelligence, Pattern recognition, Communication, Task and Image.
The concepts of her Artificial intelligence study are interwoven with issues in Stimulus, Brain mapping and Human brain.
Her Pattern recognition study incorporates themes from Representation, Categorization, Visual perception, Object and Concept learning.
Diane M. Beck interconnects Cognitive neuroscience of visual object recognition, Nerve net, A priori and a posteriori, Artificial neural network and Feature model in the investigation of issues within Visual perception.
The Concept learning study combines topics in areas such as Form perception and Visual cortex.
Her Communication research is multidisciplinary, incorporating perspectives in Retrosplenial cortex, Receptive field and Perception.
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