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• W2892070840 abstract "A central question in neuroscience and psychology is how the mammalian brain represents the outside world and enables interaction with it. Significant progress on this question has been made in the domain of spatial cognition, where a consistent network of brain regions that represent external space has been identified in both humans and rodents. In rodents, much of the work to date has been done in situations where the animal is free to move about naturally. By contrast, the majority of work carried out to date in humans is static, due to limitations imposed by traditional laboratory based imaging techniques. In recent years, significant progress has been made in bridging the gap between animal and human work by employing Virtual Reality (VR) technology to simulate aspects of real-world navigation. Despite this progress, the VR studies often fail to fully simulate important aspects of real-world navigation, where information derived from self-motion is integrated with representations of environmental features and task goals. In the current review, we provide a brief overview of animal and human imaging work to date, focusing on commonalties and differences in findings across species. Following on from this we discuss VR studies of spatial cognition, outlining limitations and developments, before introducing mobile brain imaging techniques and describe technical challenges and solutions for real-world recording. Finally, we discuss how these advances in mobile brain imaging technology, provide an unprecedented opportunity to illuminate how the brain represents complex multifaceted information during naturalistic navigation." @default.
• W2892070840 created "2018-09-27" @default.
• W2892070840 creator A5005998523 @default.
• W2892070840 creator A5064975636 @default.
• W2892070840 creator A5068086822 @default.
• W2892070840 date "2018-09-11" @default.
• W2892070840 modified "2023-09-26" @default.
• W2892070840 title "Navigation in Real-World Environments: New Opportunities Afforded by Advances in Mobile Brain Imaging" @default.
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