Contextual Control of Hopfield Networks in a Hippocampal Model - Archive ouverte HAL
Communication Dans Un Congrès Année : 2024

Contextual Control of Hopfield Networks in a Hippocampal Model

Contrôle Contextuel de Réseaux de Hopfield dans un Modèle Hippocampique

Frédéric Alexandre

Résumé

Executive functions guide episodic memory to retrieve information essential for adaptive behavior. The prefrontal cortex achieves this by influencing hippocampal processing through anatomical projections targeting the entorhinal cortex and area CA1. However, most computational models of the hippocampus overlook this cognitive control, either neglecting it or implementing implausible direct connections to the hippocampus. This paper explores the contextual control of associative memory implemented by modern Hopfield networks, within a hippocampus-inspired autoencoder. Our experiments underscore the importance of proximity between prefrontal afferences and the locus of memory storage for efficient contextual modulation of episodic memory, challenging the standard model of hippocampal processing. These findings not only advance our understanding of higher-level cognition but also provide design principles for more adaptive machine learning algorithms.
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hal-04639128 , version 1 (08-07-2024)

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  • HAL Id : hal-04639128 , version 1

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Hugo Chateau-Laurent, Frédéric Alexandre. Contextual Control of Hopfield Networks in a Hippocampal Model. COGSCI 2024 - 46th Annual Conference of the Cognitive Science Society, Jul 2024, Rotterdam, Netherlands. ⟨hal-04639128⟩
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