Normal Pain Model as Low-Pass Filter

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• The chronic pain model outperforms the normal pain model in non-stationary environments despite producing negative well-beingclaim0.778
  Surprising finding that maladaptive perception can yield superior task performance in changing environments
• Chronic Pain Perception Modelframework0.752
  HMM parameterization with sticky transitions and ambiguous emissions representing maladaptive pain perception
• Bayesian Model of Painframework0.750
  Conceptualization of pain perception as inference over hidden nociceptive causes, from Eckert et al. 2022
• Normal Pain HMM Parametersconcept0.720
  Transition (pain→pain=0.3, nopain→pain=0.2), emission (pain→noxious=0.8), initial (pain=0.223) favoring recovery
• Normal (α=0.9) and chronic (α=0.1) agents in Objective-only non-stationary category perform best with opposite learning ratesfinding0.703
  Suggests fundamental differences in learning dynamics between normal and chronic perception models
• No-pain baseline achieves M=1586.5, SD=631.2 COR in non-stationary Objective-only category (n=300)finding0.698
  Baseline for non-stationary Objective-only; dramatically lower than both pain models
• Auditory models are roughly aligned with LLMs up to a linear transformationfinding0.688
  Ngo & Kim result extending cross-modal convergence to the auditory domain
• A single linear projection is sufficient to stitch a vision model to an LLM and achieve good performance on visual question answering and image captioningfinding0.687
  Merullo et al. result on cross-modal representational compatibility