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Analysis of Hopfield Model as Associative Memory

arXiv 2402.04264 ↗First posted 24 Jan 2024cond-mat.dis-nn cs.AI cs.IRcited by 0

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Abstract (arXiv)

This article delves into the Hopfield neural network model, drawing inspiration from biological neural systems. The exploration begins with an overview of the model's foundations, incorporating insights from mechanical statistics to deepen our understanding. Focusing on audio retrieval, the study demonstrates the Hopfield model's associative memory capabilities. Through practical implementation, the network is trained to retrieve different patterns.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 1 of its 8 references that are in the map. First posted on arXiv 24 Jan 2024.

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References · 1

  1. 2023Storage and Learning phase transitions in the Random-Features Hopfield Modelcited by 11

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