Entorhinal cortex represents task-relevant remote locations independent of CA1

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The study recorded thousands of neurons in superficial medial entorhinal cortex (MEC) and dorsal CA1 while mice learned two pairs of rewarded locations, assessing how neural populations represented remote experiences during immobility. The authors found that MEC frequently exhibited non-local coding, where population activity represented positions far from the animal’s current location, driven by spatially tuned cells with remote firing fields even when locally coding cells remained active; non-local coding occurred more often outside sharp-wave ripples, and CA1 activity was less coordinated with MEC during these events. They reported that MEC non-local coding preferentially reflected task-relevant remote locations at appropriate times and rarely represented task-irrelevant locations, and they note the limitation that MEC non-local coding was not constrained to CA1 sharp-wave ripple coordination. This paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Neurons can collectively represent the current sensory experience while an animal is exploring its environment or remote experiences while the animal is immobile. These remote representations can reflect learned associations and be required for learning. Neurons in the medial entorhinal cortex (MEC) reflect the animal's current location during movement, but little is known about what MEC neurons collectively represent during immobility. Here, we recorded thousands of neurons in superficial MEC and dorsal CA1 as mice learned to associate two pairs of rewarded locations. We found that during immobility, the MEC neural population frequently represented positions far from the animal's location, which we defined as 'non-local coding'. Cells with spatial firing fields at remote locations drove non-local coding, even as cells representing the current position remained active. While MEC non-local coding has been reported during sharp-wave ripples in downstream CA1, we observed non-local coding more often outside of ripples. In fact, CA1 activity was less coordinated with MEC during non-local coding. We further observed that non-local coding was pertinent to the task, as MEC preferentially represented remote task-relevant locations at appropriate times, while rarely representing task-irrelevant locations. Together, this work raises the possibility that MEC non-local coding could strengthen associations between locations independently from CA1.
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ABSTRACT Neurons can collectively represent the current sensory experience while an animal is exploring its environment or remote experiences while the animal is immobile. These remote representations can reflect learned associations1–3 and be required for learning4. Neurons in the medial entorhinal cortex (MEC) reflect the animal’s current location during movement5, but little is known about what MEC neurons collectively represent during immobility. Here, we recorded thousands of neurons in superficial MEC and dorsal CA1 as mice learned to associate two pairs of rewarded locations. We found that during immobility, the MEC neural population frequently represented positions far from the animal’s location, which we defined as ‘non-local coding’. Cells with spatial firing fields at remote locations drove non-local coding, even as cells representing the current position remained active. While MEC non-local coding has been reported during sharp-wave ripples in downstream CA16, we observed non-local coding more often outside of ripples. In fact, CA1 activity was less coordinated with MEC during non-local coding. We further observed that non-local coding was pertinent to the task, as MEC preferentially represented remote task-relevant locations at appropriate times, while rarely representing task-irrelevant locations. Together, this work raises the possibility that MEC non-local coding could strengthen associations between locations independently from CA1. Competing Interest Statement The authors have declared no competing interest.

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