What is she best known for?
The fields of study she is best known for:
- Neuroscience
- Artificial intelligence
- Visual cortex
The scientist’s investigation covers issues in Macaque, Neuroscience, Face, Primate and Functional magnetic resonance imaging.
Doris Y. Tsao combines subjects such as Face space, Psychophysics and Visual system with her study of Macaque.
Her Face study incorporates themes from Feature, Cortex, Superior temporal sulcus and Feature vector.
Her Superior temporal sulcus study integrates concerns from other disciplines, such as Cerebral cortex, Object, Temporal cortex and Fusiform face area.
Doris Y. Tsao interconnects Coordinate system and Facial identity in the investigation of issues within Primate.
Her studies deal with areas such as Facial expression, Face detection and Information processing as well as Face perception.
Her most cited work include:
- A cortical region consisting entirely of face-selective cells. (834 citations)
- Faces and objects in macaque cerebral cortex. (466 citations)
- Functional compartmentalization and viewpoint generalization within the macaque face-processing system. (459 citations)
What are the main themes of her work throughout her whole career to date?
Doris Y. Tsao mainly investigates Macaque, Artificial intelligence, Neuroscience, Face and Pattern recognition.
Doris Y. Tsao has researched Macaque in several fields, including Color vision, Communication, Cortex, Microstimulation and Superior temporal sulcus.
Her research integrates issues of Computer vision and Primate in her study of Artificial intelligence.
Her research in Primate intersects with topics in Coordinate system, Inferotemporal cortex and Facial identity.
Her works in Functional magnetic resonance imaging, Brain activity and meditation, Brain mapping, Stimulus and Visual cortex are all subjects of inquiry into Neuroscience.
Doris Y. Tsao has included themes like Representation, Feature vector, Object, Psychophysics and Pattern recognition in her Face study.
She most often published in these fields:
- Macaque (60.00%)
- Artificial intelligence (60.00%)
- Neuroscience (45.56%)
What were the highlights of her more recent work (between 2018-2021)?
- Artificial intelligence (60.00%)
- Artificial neural network (15.56%)
- Macaque (60.00%)
In recent papers she was focusing on the following fields of study:
Doris Y. Tsao mainly focuses on Artificial intelligence, Artificial neural network, Macaque, Pattern recognition and Generative model.
Her research combines Primate and Artificial intelligence.
Her Primate study combines topics from a wide range of disciplines, such as Object, Computer vision, Microstimulation and Topic Maps.
Her studies in Macaque integrate themes in fields like Cognitive neuroscience of visual object recognition, Consciousness, Binocular rivalry, Eye movement and Neural correlates of consciousness.
Her work investigates the relationship between Pattern recognition and topics such as Face that intersect with problems in Feature vector and Neural coding.
She is involved in the study of Neuroscience that focuses on Neuroimaging in particular.
Between 2018 and 2021, her most popular works were:
- A map of object space in primate inferotemporal cortex. (43 citations)
- A map of object space in primate inferotemporal cortex. (43 citations)
- Accelerating the Evolution of Nonhuman Primate Neuroimaging (37 citations)
In her most recent research, the most cited papers focused on:
- Neuroscience
- Artificial intelligence
- Visual cortex
Her primary areas of study are Macaque, Cognitive neuroscience of visual object recognition, Cognitive science, Artificial intelligence and Artificial neural network.
The various areas that she examines in her Cognitive science study include Consciousness, Cognition and Turtle.
Her work deals with themes such as Primate, Visual Objects, Microstimulation and Pattern recognition, which intersect with Artificial intelligence.
Her Pattern recognition study frequently draws connections between related disciplines such as Generative model.
Her Artificial neural network research includes themes of Deep learning, Generative grammar, Face and Neural coding.
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