Neural mechanisms of spatial and episodic memory
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AI plain-English summaryA computational model of how the brain stores and retrieves memories of where events happened is about to be tested against real neural data from both mice and humans. Episodic memory—the ability to recall specific past events—is essential for daily life, yet its breakdown in conditions such as dementia remains poorly understood. The gap between what we know about individual neurons and what we observe in behaviour is enormous. This project aims to bridge that gap by building a neural-level computer model that simulates how the hippocampus and surrounding brain regions encode spatial context, then testing that model with experiments in both species. If the model holds, it will provide a mechanistic framework for understanding how the brain decides whether to store new information or reconstruct a past event—a process called pattern separation and completion. It could also reveal how the brain translates between self-centred perception and world-centred spatial maps, and how movement signals update mental imagery during planning. While this is fundamental science with no immediate clinical application, similar work on spatial navigation systems in rodents ultimately led to the Nobel Prize-winning discovery of grid cells, which now inform research into Alzheimer’s disease and virtual-reality technologies.
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