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framework:neural-decoding-programNeural Decoding Program
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- Neural Decodingrelated_to
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- The model's parameters considered as the actual 'code' implementing its algorithms, as opposed to human-written code.
- Michael Johnson's prior work on how neural networks (and brains) can be 'annealed' to find optimal states.
- 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
- Brain-based physical implementations of consciousness-related functions, assumed by many ToCs to be exclusive.
- Correlative technique measuring the type of information encoded in distributed representations via linear predictability.