Completed Brain & Nervous System Psychology & Behaviour

Intra- and inter-layer entorhinal circuit mechanisms for estimating location

In plain English

AI plain-English summary

A rat runs through a maze, and specific neurons in its brain fire in a precise pattern that tracks exactly where it is. These neurons, located in the medial entorhinal cortex (MEC), form the brain’s internal GPS. But scientists do not yet understand how the different layers of this brain region talk to each other to compute location, or how to separate the brain’s sense of space from its sense of self-motion. This project aims to crack that circuit. The researchers will use genetic tools to switch on or off specific neuron types in layers 2 and 5b of the MEC, then record how the remaining cells fire as the animal navigates. This will reveal which synaptic interactions produce the brain’s spatial firing patterns and network oscillations. This is fundamental science. It will not produce a medical treatment or a navigation app tomorrow. But understanding how a compact neural circuit computes location is a prerequisite for future work on spatial memory loss in dementia, where the MEC is one of the first regions to degrade. Similar fundamental studies of neural circuits have previously unlocked deep principles of learning and memory that now inform everything from AI navigation algorithms to deep brain stimulation targets.

View original technical description
The well characterised spatial firing of neurons in the medial entorhinal cortex (MEC) make this structure an excellent model for investigation of cognitive circuitry. However, progress in moving from descriptions of its activity to an understanding of its circuit computations is hindered by functional specialisation of cell types with and between its layers, limited availability of tools for selectively manipulating key cell types and difficulty in dissociating roles of spatial from self-motion signals. We propose to address these challenges by combining new behavioural paradigms with precise molecular genetic manipulation of MEC circuitry, and electrophysiological recordings of neuronal activity. We aim to delineate synaptic interactions of key molecularly defined neuronal populations in layers 2 and 5b, and investigate contributions of these neuronal populations to network oscillations, spatial firing and behaviour. In doing so we will distinguish predictions of distinct models for spatial computation that imply differing roles for intra- and inter-layer interactions. Our strategic approach, focussed on two key cell populations, will generate experimental and theoretical frameworks that are extendable to additional cell types in the MEC and other cortices, and that will be a foundation for future mechanistic investigation of molecular underpinnings of spatial cognition.

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Researchers

Matthew Nolan (EPMC Awardee)

Related Research

Grants with similar aims, by meaning.

An investigation of synaptic and molecular mechanisms for neural representation of space.
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Network analysis of entorhinal-hippocampal circuits for spatial cognition and memory
Connecting objects to places: functional investigation of projections from lateral to medial entorhinal cortex
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Original classification

Investigator Award in Science

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