Normal Pain HMM Parameters

Transition (pain→pain=0.3, nopain→pain=0.2), emission (pain→noxious=0.8), initial (pain=0.223) favoring recovery

Neighborhood — ranked by edge-count

paper

framework

Normal Pain Perception Model
implements
HMM parameterization representing healthy pain perception with informative transitions and emissions

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.

Chronic Pain HMM Parametersconcept0.848
Sticky transitions (pain→pain=0.8, nopain→nopain=0.7) and ambiguous emissions (both states 0.6 noxious) representing maladaptive perception
Bayesian Model of Painframework0.736
Conceptualization of pain perception as inference over hidden nociceptive causes, from Eckert et al. 2022
Normal Pain Model as Low-Pass Filterclaim0.720
Author's interpretation that the normal pain model smooths the happiness signal into a stable belief state providing exploration bonus
activation manifold fitting (M_h)method0.651
Method to fit a manifold M_h to neural representations in activation space.