Neuronal vector coding in spatial cognition

• Published in: Nature reviews. Neuroscience Vol. 21; no. 9; pp. 453 - 470
• Main Authors: Bicanski, Andrej, Burgess, Neil
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 01.09.2020; Nature Publishing Group
• Subjects: 631/378/1595/1554; 631/378/1595/3922; Animal behavior; Animal Genetics and Genomics; Animals; Behavioral Sciences; Biological Techniques; Biomedical and Life Sciences; Biomedicine; Cerebral Cortex - physiology; Cognition; Cognition & reasoning; Cognition - physiology; Hippocampus; Hippocampus - physiology; Humans; Memory; Memory - physiology; Navigation behavior; Neostriatum; Neural coding; Neurobiology; Neurons; Neurons - physiology; Neurosciences; Parahippocampal gyrus; Review Article; Spatial memory; Spatial Navigation - physiology
• ISSN: 1471-003X; 1471-0048; 1469-3178
• DOI: 10.1038/s41583-020-0336-9

Several types of neurons involved in spatial navigation and memory encode the distance and direction (that is, the vector) between an agent and items in its environment. Such vectorial information provides a powerful basis for spatial cognition by representing the geometric relationships between the self and the external world. Here, we review the explicit encoding of vectorial information by neurons in and around the hippocampal formation, far from the sensory periphery. The parahippocampal, retrosplenial and parietal cortices, as well as the hippocampal formation and striatum, provide a plethora of examples of vector coding at the single neuron level. We provide a functional taxonomy of cells with vectorial receptive fields as reported in experiments and proposed in theoretical work. The responses of these neurons may provide the fundamental neural basis for the (bottom-up) representation of environmental layout and (top-down) memory-guided generation of visuospatial imagery and navigational planning. A number of spatially selective neurons that encode an animal’s distance and direction from environmental features have been proposed by theoretical studies and experimentally identified. Andrej Bicanski and Neil Burgess summarize our current understanding of vector coding cells and describe their contribution to spatial cognition.