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Formation of cognitive maps in large-scale environments by sensorimotor integration

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Abstract

Hippocampus in the mammalian brain supports navigation by building a cognitive map of the environment. However, only a few studies have investigated cognitive maps in large-scale arenas. To reveal the computational mechanisms underlying the formation of cognitive maps in large-scale environments, we propose a neural network model of the entorhinal-hippocampal neural circuit that integrates both spatial and non-spatial information. Spatial information is relayed from the grid units in medial entorhinal cortex (MEC) by integrating multimodal sensory-motor signals. Non-spatial, such as object, information is imparted from the visual units in lateral entorhinal cortex (LEC) by encoding visual scenes through a deep neural network. The synaptic weights from the grid units and the visual units to the place units in the hippocampus are learned by a competitive learning rule. We simulated the model in a large box maze. The place units in the model form irregularly-spaced multiple fields across the environment. When the strength of visual inputs is dominant, the responses of place units become conjunctive and egocentric. These results point to the key role of the hippocampus in balancing spatial and non-spatial information relayed via LEC and MEC.

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Funding

This work is supported by STI2030-Major Projects 2022ZD0205005.

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Authors and Affiliations

  1. Information Science Academy, China Electronics Technology Group Corporation, Beijing, 100086, China

    Dongye Zhao

  2. School of Systems Science, Beijing Normal University, Beijing, 100875, China

    Bailu Si

  3. Chinese Institute for Brain Research, Beijing, 102206, China

    Bailu Si

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Zhao, D., Si, B. Formation of cognitive maps in large-scale environments by sensorimotor integration. Cogn Neurodyn 19, 19 (2025). https://doi.org/10.1007/s11571-024-10200-2

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