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framework:neural-decoding-program

Neural Decoding Program

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Related by similarity (8)

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

  • Neural codeconcept0.839
    The model's parameters considered as the actual 'code' implementing its algorithms, as opposed to human-written code.
  • Neural Annealingframework0.804
    Michael Johnson's prior work on how neural networks (and brains) can be 'annealed' to find optimal states.
  • neural cognitionconcept0.789
    Cognition in nervous systems, used as a modelling target
  • The field aimed at understanding what neural networks have learned; characterized as pre-paradigmatic in this paper
  • Bricken et al.'s method for decomposing language models into interpretable features; cited as AI alignment interpretability relevant to consciousness detection
  • neural substratesconcept0.766
    Brain-based physical implementations of consciousness-related functions, assumed by many ToCs to be exclusive.
  • Linear Decodingmethod0.757
    Correlative technique measuring the type of information encoded in distributed representations via linear predictability.
  • Neural Networksconcept0.754