framework
active
framework:embodied-predictive-interoception-coding

Embodied Predictive Interoception Coding

Barrett and Simmons's neuroanatomical model of interoceptive prediction error and affect generation

Neighborhood — ranked by edge-count

Thinkers (2)

thinker

Concepts (1)

concept
  • Prediction error computed by the anterior insula comparing predicted to actual bodily states; generates feeling states

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.

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    Related framework emphasizing prediction errors; active inference extends to Markov decision processes.
  • Apps and Tsakiris's proposal that self-recognition can be modeled probabilistically under the free energy principle
  • Indicator from PP: use of predictive coding in input modules.
  • Framework learning end-to-end mappings from activations through sparse concept bottlenecks to behavioral predictions
  • Pre-Encoder Biasconcept0.725
    Architectural modification subtracting a learned bias from autoencoder inputs before encoding; initialized to geometric median of dataset; improves autoencoder performance
  • The mid-to-late layer computational process that converts routed perturbation signals into explicit predictions
  • Embodied AIconcept0.721
    Emerging approach to run deep learning algorithms on autonomous robots and evolve robot bodies directly.
  • The process by which an agent realizes through practice that the self-environment boundary is unevidenceable, leading to awakening.