Completed Brain & Nervous System Psychology & Behaviour

Neural mechanisms of spatial and episodic memory

In plain English

AI plain-English summary

A 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.

View original technical description
Episodic memory is a crucial function and its loss devastating. Research into its neural mechanisms is hindered by the knowledge gap between the molecular biology and pharmacology of neurons and synapses and behaviour/symptoms. To begin closing this gap I have developed a neural-level computational model of remembering the spatial context of an event. This model, including formation and use of place, grid, boundary and head-direction cells in spatial memory, will be tested, refined and extended to episodic memory, by experiments in humans and mice performing similar mnemonic tasks, such as virtual-reality navigation. Optogenetic, 2-photon microscopy and electrophysiological experiments in mice, will be combined with fMRI, MEG and intracranial recordings in humans to acquire the data across neuronal, circuits, systems, and behavioural levels, needed to test the model. Model predictions will be tested in patients with memory disorders. Key goals will be to test the model’s main neural-level mechanisms: how information can either be stored as a new memory or trigger reconstruction of an entire previous event, i.e. hippocampal pattern separation/completion; how egocentric perception and imagery interface with long-term allocentric representations, i.e. coordinate transformations in retrosplenial cortex; and how movement-related inputs update spatial representations in memory, mental imagery and planning.

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Researchers

Neil Burgess (EPMC Awardee)

Related Research

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Neuronal mechanisms of spatial memory.
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A Neurocomputational Model of Episodic Memory
The neural basis of spatial and episodic memory in humans.
All-optical interrogation of the hippocampal neural code underlying episodic memory

Original classification

Principal Research Fellowship Renewal

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