Statistical-mechanical theory of dreaming in memories.
Scanned 9/11/2026
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---
name: do-hopfield-networks-dream
title: Do Hopfield Networks Dream of Stored Patterns?
description: Statistical-mechanical theory of dreaming in memories.
paper_link: https://arxiv.org/abs/2605.06981
trigger_words: ["Hopfield networks", "dreaming", "associative memories", "statistical mechanics"]
---
# Do Hopfield Networks Dream of Stored Patterns? A Statistical-Mechanical Theory of Dreaming in Multidirectional Associative Memories
## Overview
This paper introduces the Dreaming L-directional Associative Memory (DLAM), a multi-layer Hebbian architecture in which off-line dreaming and supervised heteroassociative coupling coexist within a single energy-based framework.
## Key Components
- Multi-layer Hebbian architecture
- Off-line dreaming process
- Supervised heteroassociative coupling
- Energy-based framework
- Statistical-mechanical analysis of dreaming dynamics
## Applications
- Associative memory systems
- Continual learning
- Memory consolidation
- Pattern completion and generation
## Implementation Guidelines
1. Design multi-layer Hebbian networks with dreaming capabilities
2. Implement off-line dreaming phase for memory reorganization
3. Integrate supervised learning for heteroassociative coupling
4. Analyze using statistical-mechanical methods
## References
- Original paper: [arXiv:2605.06981](https://arxiv.org/abs/2605.06981)
- Published: May 13, 2026Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
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