08:30 - 10:00
Mon-B21-Talk I-
Mon-Talk I-
Room: B21
Chair/s:
Sein Jeung, Klaus Gramann
This session puts together research works that are central to understanding spatial navigation and its neural underpinnings. The talks will introduce the neural basis of spatial navigation in animal and human research along with new insights from studies coupling mobile brain imaging with virtual reality (VR) and real-world tasks as well as works on
geometric representations of space and the impact of aging on navigation abilities. Different navigation strategies such as path integration and landmark-based navigation are supported by neural populations in the medial temporal lobe [1]. Electrophysiology recorded in animals can be used to establish, validate, and refine computational models that are linked with testable behavioral predictions on how space is represented and remembered. Methodological advances such as immersive VR and mobile brain imaging enable the translation of key findings from animal research on the aforementioned brain regions to humans. The use of VR in spatial navigation research allows for flexible manipulation of space in a way that is not possible in physical space, while providing participants with rich, naturalistic stimuli [2,3]. By enabling participants to make use of a natural mode of locomotion (e.g., walking through physical space), mobile brain imaging methods such as mobile EEG [2,5] afford the investigation of how body-based information influences navigation strategies. A better understanding of how humans navigate through space is of great applied value as they inform us about the nature of cognitive decline in older adults [4] and support development of effecient navigation aids [5].
Cognitive maps for a 3D world
Mon-B21-Talk I-03
Presented by: Misun Kim
Misun Kim 1, Christian Doeller 1, 2, 3
1 Max Planck Institute for Human Cognitive and Brain Sciences, 2 Institute of Psychology, Leipzig Univeristy, 3 Kavli Institute for Systems Neuroscience
Humans can build a mental model (“cognitive map”) of the world. Cognitive maps are useful for physical navigation as well as more general human cognition. Physical space is 3D and abstract space can be higher-dimensional. However, a majority of previous research investigated spatial navigation in a simple flat 2D environment, leaving a 2D Euclidean map as a dominant model in the field. How do humans build cognitive maps for a 3D world where they can move vertically as well as horizontally? How do they navigate on a non-flat surface embedded in the 3D world? Do they use a dimension-reduced map or a volumetric map? Can people overcome the influence of Euclidean geometrical prior? In my talk, I will present virtual reality (VR) experiments which investigated the nature of cognitive maps for 3D volumetric environments and curved surfaces.
Keywords: 3D, non-Euclidean, cognitive map, sphere