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question:how-can-neural-systems-adapt-their-dynamics-asHow Can Neural Systems Adapt Their Dynamics As
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.
- Empirical prediction of the framework regarding brain dynamics after emptiness realisation.
- Motivates the bidirectional design of MAS over unidirectional model stitching.
- Extends convergence argument to brain-machine alignment
- Key insight that rotating a neural representation to a non-standard basis can reveal distributed causal structure invisible in standard neuron-aligned basis.
- Fundamental question motivating the entire MAS framework.
- Addition of neural tissue to standard brains will likely result in increased processing capacity due to adaptive design.hypothesis0.743Prediction about the plasticity of neural systems.
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same_concept_as · Nomic cosineExternal markdown files that talk about the same concept as this entity.
- aboutblank_kbHow can neural systems adapt their dynamics as new behaviors are learned in novel bodies and environments?questions/how-can-neural-systems-adapt-their-dynamics-as.md0.859
- aboutblank_kbHow do neural systems adapt their dynamics as new behaviors are learned in novel embodiments?questions/how-do-neural-systems-adapt-their-dynamics-as.md0.830