Tag: associative memory
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Gated Associative Memory Networks: Robust Retrieval Beyond Critical Capacity
Why Gated Architectures Matter in Associative Memory Associative memory describes the brain’s remarkable ability to recover a complete pattern from incomplete information. Traditional models, inspired by Hebbian learning and classic attractor dynamics, often hit a hard limit known as the critical capacity. Beyond this point, recall becomes unreliable, and partial cues fail to reconstruct the…
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Gated Associative Memory Networks Achieve Robust Retrieval Beyond Critical Capacity
Introduction Associative memory is a foundational concept in neuroscience and artificial intelligence: the ability to recall a complete pattern from partial cues. Recent work on gated associative memory networks shows that incorporating neuromodulation-inspired gating mechanisms can dramatically improve retrieval robustness, even when the system operates beyond its traditional critical capacity. This article explains how these…