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concept:neural-networksNeural Networks
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- Feature (neural network)related_toScalar function of the input corresponding to a direction in the vector space of neuron activations; claimed to be the fundamental unit of neural networks
- Neural-network agentsrelated_toThe artificial agents trained with RL in this study, whose latent dynamics are analyzed for causal emergence.
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.
- Biologically-inspired AI architecture cited as a successful example of bioinspiration from visual cortex organization
- Cognition in nervous systems, used as a modelling target
- Core machine learning architecture analyzed in the paper; shown to be mathematically related to TEM.
- The model's parameters considered as the actual 'code' implementing its algorithms, as opposed to human-written code.
- Brain-based physical implementations of consciousness-related functions, assumed by many ToCs to be exclusive.
- Theoretical model of how neural networks encode more features than dimensions, informing linear representation work.
- The paper's central thesis statement, presented prominently after the abstract