Abstract
Insightful theoretical and experimental research has shown toroidal representations of entorhinal grid cells working in continuous attractor neural networks. However, this commentary underscores a critical aspect: these toroidal representations do not exist in isolation from the environment within the brain’s neural networks. Instead, they arise as a response to dynamic requirements within the relational context of the task being performed. This view highlights the adaptive nature of these neural representations discussing their emergence based on specific task-related demands rather than as pre-existing, independent neuronal structures.
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