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hypothesis:collective-nucleation-dynamics-in-hebbian-learned-molecular-interaction-systems-can-perform-pattern-recognition-by-assembling-different-structures-in-response-to-different-concentration-patterns

Collective nucleation dynamics in Hebbian-learned molecular interaction systems can perform pattern recognition by assembling different structures in response to different concentration patterns

stern-2022-learning.md
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  "doc": "stern-2022-learning.md",
  "context": "Theoretical prediction that molecular systems with proximity-based learning can recognize patterns; has mathematical connections to Hopfield associative memory",
  "norm_label": "Collective nucleation dynamics in Hebbian-learned molecular interaction systems can perform pattern recognition by assembling different structures in response to different concentration patterns",
  "graphify_id": "hypothesis_molecular_pattern_recognition",
  "source_file": "stern-2022-learning.md",
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  "extracted_type": "hypothesis",
  "source_location": "§2.2",
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    stern-2022-learning.md