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Remi: Reconstructing Episodic Memory During Intrinsic Path Planning.

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Remi: Reconstructing Episodic Memory During Intrinsic Path Planning.

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REMI: Reconstructing Episodic Memory During Intrinsic Path Planning.

Zhaoze Wang, Genela Morris, Dori Derdikman

|September 29, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

The study proposes that the brain uses both grid cells (medial entorhinal cortex) and place cells (hippocampus) for planning. This system allows recalling goals from cues and planning paths using grid cell representations.

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Area of Science:

Neuroscience
Computational Neuroscience
Cognitive Science

Background:

Grid cells in the medial entorhinal cortex (MEC) and place cells in the hippocampus (HC) are key neural substrates for spatial representation.
The distinct roles and interplay between these cell types in spatial cognition, particularly in planning, remain incompletely understood.

Purpose of the Study:

To propose and model a computational framework where grid and place cells interact to support cognitive planning.
To investigate how sensory and motivational cues can trigger goal recall and facilitate path planning through the hippocampal-entorhinal system.

Main Methods:

Development of a single-layer recurrent neural network (RNN) model simulating the hippocampal-medial entorhinal cortex loop and a planning subnetwork.
Extension of existing theoretical frameworks for grid-cell-based planning to incorporate path forecasting and sequential state updates.

Analysis of the model's ability to reconstruct experiences along a planned path via place cell pattern completion.

Main Results:

The model demonstrates that local transition rules can generalize for long-distance path forecasting.
The planning network can sequentially update grid cell states toward a goal.
Intermediate grid activity triggers place cell pattern completion, reconstructing traversed experiences.

Conclusions:

The integrated hippocampal-medial entorhinal cortex system, coupled with a planning network, provides a viable mechanism for goal-directed navigation and planning.
This framework supports the hypothesis that distinct spatial representations (grid and place cells) serve complementary roles in memory and planning.
The model generates testable predictions regarding the neural dynamics of planning and spatial memory recall.