Completed Brain & Nervous System Psychology & Behaviour

Cell and systems analysis of spatial and episodic memory

In plain English

AI plain-English summary

A person navigating a virtual-reality town while their brain activity is scanned reveals how individual neurons and larger neural networks work together to form memories of places and events. This research addresses a fundamental gap in understanding how the brain’s cellular and systems-level machinery produces two types of everyday memory: spatial memory (knowing where things are) and episodic memory (remembering what happened). Without this basic knowledge, diagnosing and tracking neurological diseases such as Alzheimer’s—the most common form of dementia—relies on behavioural tests that are often imprecise. Similarly, surgeons removing brain tissue for conditions like intractable epilepsy lack clear, cell-level maps of which regions support which memories. If successful, this work could sharpen diagnostic tests for memory disorders, allowing clinicians to pinpoint affected brain regions more accurately using behavioural assessments and imaging. It may also guide the development of new drugs by revealing the neural circuits that fail in disease. This is primarily fundamental science—understanding how neurons encode experience—but similar curiosity-driven research into hippocampal place cells and grid cells has already transformed neuroscience and inspired advances in artificial intelligence and navigation systems.

View original technical description
I aim to understand how we find remember where things are and the things that happen to us in everyday life. I aim to do this by understanding how the actions of neurons in different parts of the brain enable these functions, including using computers to see how neurons can work together as well as experiments involving data from single cells, functional neuroimaging and studying patients with specific brain damage. To perform realistic experiments I will use recent advances in virtual reality to provide controlled situations in which to do these things. This is important for the following reasons. Diagnosing a neurological disease and monitoring its progress often depends on being able to measure its effect on behaviour. Many neurological conditions affect our ability find our way around and to remember things, e.g. Alzheimer‘s disease - the most common form of dementia. Where brain surgery may be required (as in some cases of intractable epilepsy) it is also useful to be able to tell which part rain is affected using behavioural tests, and imaging techniques. At a more basic level, understanding how the neurons and neural systems work will aid the development of new medicines. This type of basic research can also have unforeseen knock-on effects: aiding scientific discoveries in related fields such as pharmacology, computer science, engineering.

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Researchers

Neil Burgess (Principal Investigator)

Related Research

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Neuronal- and systems-level understanding of spatial and episodic memory.
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Circuit and cellular analysis of the lateral entorhinal cortex in associative recognition memory

Original classification

Fellowship

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