PP-1: Input modules using predictive coding

Indicator from PP: use of predictive coding in input modules.

Neighborhood — ranked by edge-count

paper

framework

Predictive Processing Theory
associated_with
Theory that perception and cognition involve predictive coding; listed with indicators in Butlin et al. 2023.

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.

RPT-1: Input modules using algorithmic recurrenceconcept0.791
Indicator derived from RPT: use of algorithmic recurrence in input modules.
Predictive Codingframework0.782
Related framework emphasizing prediction errors; active inference extends to Markov decision processes.
RPT-2: Input modules generating organized, integrated perceptual representationsconcept0.770
Indicator derived from recurrent processing theory; requires interpretability methods or behavioral tests like Kanizsa illusion
RPT-2: Input modules generating organised, integrated perceptual representationsconcept0.753
Indicator: perceptual organization beyond feature extraction.
Embodied Predictive Interoception Codingframework0.745
Barrett and Simmons's neuroanatomical model of interoceptive prediction error and affect generation
Plug-and-Play Language Model (PPLM)framework0.733
Decoding-time control method compared as prior work; incurs substantial compute and is sensitive to hyperparameters
How Do Protocognitive Modules At Different Scales Enablequestion0.729
Predictive Coding Theoryconcept0.728
Theory that brains are predictive machines minimizing prediction error.