A Biologically Interpretable Cognitive Architecture for Online Structuring of Episodic Memories into Cognitive Maps

• URL: http://arxiv.org/abs/2510.03286v1
• Date: Mon, 29 Sep 2025 04:07:38 GMT
• Title: A Biologically Interpretable Cognitive Architecture for Online Structuring of Episodic Memories into Cognitive Maps
• Authors: E. A. Dzhivelikian, A. I. Panov,
• Abstract summary: We propose a novel cognitive architecture for structuring episodic memories into cognitive maps.<n>Our model integrates the Successor Features framework with episodic memories, enabling incremental, online learning.<n>This work bridges computational neuroscience and AI, offering a biologically grounded approach to cognitive map formation in artificial adaptive agents.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Cognitive maps provide a powerful framework for understanding spatial and abstract reasoning in biological and artificial agents. While recent computational models link cognitive maps to hippocampal-entorhinal mechanisms, they often rely on global optimization rules (e.g., backpropagation) that lack biological plausibility. In this work, we propose a novel cognitive architecture for structuring episodic memories into cognitive maps using local, Hebbian-like learning rules, compatible with neural substrate constraints. Our model integrates the Successor Features framework with episodic memories, enabling incremental, online learning through agent-environment interaction. We demonstrate its efficacy in a partially observable grid-world, where the architecture autonomously organizes memories into structured representations without centralized optimization. This work bridges computational neuroscience and AI, offering a biologically grounded approach to cognitive map formation in artificial adaptive agents.

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