Active Psychology & Behaviour Cells, Biochemistry & Physiology

Hippocampal navigation and place recognition

In plain English

AI plain-English summary

Rats running through a honeycomb-shaped maze are revealing how the brain builds mental maps of familiar places. The hippocampus, a brain region critical for memory and navigation, contains specialised cells that act like an internal GPS. Researchers have already shown that place cells in the CA1 region do more than just signal location—they actively point toward goals and evaluate alternative routes when the direct path is blocked. This work addresses a fundamental gap in neuroscience: how the brain flexibly navigates familiar environments, weighing options and adapting when plans change. This is primarily curiosity-driven fundamental science. Understanding how neural circuits encode spatial memory and decision-making could eventually inform treatments for conditions like Alzheimer’s disease, where navigation and place recognition are among the first cognitive functions to decline. The honeycomb maze technique itself is a novel tool that may be adopted by other labs studying spatial cognition. Beyond medicine, deeper knowledge of how brains compute efficient routes could inspire more adaptive algorithms for autonomous navigation systems—though such applications remain distant. For now, the research asks a basic question: how does a handful of neurons in a rat’s brain know where it is and where it needs to go?

View original technical description
The existence of place, directional, boundary and grid cells in the rat hippocampal formation provides strong evidence that it functions as a cognitive map containing map-like representations of familiar environments which enable the animal to identify its current location together with desirable and undesirable locations, and to move towards or away from these. Using our newly developed honeycomb maze, we have shown that the CA1 place cells support flexible navigation by pointing the direction to the goal and, in addition, evaluating the suitability of all non-goalward directions as possible options if the goalward choice is not available. We plan to explore the properties of this representation, its environmental and path integation inputs and the way in which it underpins flexible navigation. We have also shown that the CA1 place cells are sensitive to the size of the environment. Their firing rates are modulated by a range of environmental sizes with some cells preferring small environments, others intermediate sized ones, and yet others firing only to the largest environment. We will study exactly which aspect of environmental size and shape these cells are monitoring and how they are doing so.

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Researchers

John O'Keefe (EPMC Awardee)

Related Research

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Original classification

Principal Research Fellowship Renewal

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