concept
active
concept:predictive-coding-theoryPredictive Coding Theory
Theory that brains are predictive machines minimizing prediction error.
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Papers (1)
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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.
- Related framework emphasizing prediction errors; active inference extends to Markov decision processes.
- Theory that perception and cognition involve predictive coding; listed with indicators in Butlin et al. 2023.
- Apps and Tsakiris's proposal that self-recognition can be modeled probabilistically under the free energy principle
- Barrett and Simmons's neuroanatomical model of interoceptive prediction error and affect generation
- Framework learning end-to-end mappings from activations through sparse concept bottlenecks to behavioral predictions
- Formal mathematical framework (Bialek, Tononi, etc.) proposed to characterize autonomous agents and synergies between them.
- The hypothesis that semantic concepts in neural representations can be captured using sparsity priors
- Fundamental mathematical tool; poset-as-category provides simple instances of categorical notions like products and adjunctions.