Hopfield Network

{
  "tags": [],
  "type": "framework",
  "aliases": [],
  "context": "A recurrent connectionist architecture that implements associative memory and distributed computation through symmetric weighted connections and Hebbian learning rules. The network converges to stable states through recurrent dynamics, enabling both memory retrieval and combinatorial problem-solving in a fully distributed manner.",
  "created": "2025-10-21",
  "creator": [
    "John Hopfield"
  ],
  "updated": "2025-10-21",
  "category": "ai",
  "enrichment": {
    "model": "claude-haiku-4-5",
    "version": 1,
    "is_stale": false,
    "input_hash": "ad14b842c29c61f168f9edb62c5f128c8963d859",
    "enriched_at": 1778974202,
    "n_observations": 2,
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  "originator": "John Hopfield",
  "mention_count": 1
}