Dora E. Angelaki

Baylor College of Medicine


Election Year: 2014
Primary Section: 28, Systems Neuroscience
Secondary Section: 52, Psychological and Cognitive Sciences
Membership Type: Member

Biosketch

Dr. Angelaki is the Wilhelmina Robertson Professor & Chair of the Department of Neuroscience, Baylor College of Medicine, with a joint appointment in the Department of Electrical & Computer Engineering, Rice University. She holds Diploma and PhD degrees in Electrical and Biomedical Engineering from the National Technical University of Athens and University of Minnesota. Her general area of interest is computational, cognitive and systems neuroscience. Within this broad field, she specializes in the neural mechanisms of spatial perception and spatial navigation. She is interested in neural coding and how complex, cognitive behavior is produced by neuronal populations. She has received the Presidential Early Career Award for Scientists and Engineers, the Halpike-Nylen medal from the Barany Society and the inaugural Pradel Award in Neuroscience from the National Academy of Sciences. She is the Editor-in-Chief of the Journal of Neuroscience and a fellow/member of both the American Academy of Arts and Sciences and National Academy of Sciences.

Research Interests

Dora Angelaki specializes in the neural mechanisms of spatial perception and spatial navigation, and how they impact complex cognitive behavior. She and her colleagues investigate how multisensory information flows between subcortical and cortical brain areas and how internal states modulate this information flow. They use innovative approaches to explore and understand neural dynamics and network coding of multi-sensory and multi-modal information at multiple stages of processing under diverse naturalistic and perceptual contexts related to navigation, planning and perceptual decisions. They are interested in the neural implementation of canonical neural computations and how they go astray to result in sensory, motor, memory and cognitive deficits in diseases like autism and schizophrenia. Their goal is to use this knowledge to understand computational principles of disease, to inspire artificial systems, to aid the development of tools for understanding and treating deficits of sensory coding, spatial orientation, cognition and action.

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