Dopamine depletion eliminates motivated approach behavior (wanting) while leaving consummatory hedonic reactions (liking) largely intact

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• Separate dopaminergic pathways mediate approach and avoidance learning, with biological training via positive reinforcement producing qualitatively different affective profiles than punishment-based trainingfinding0.758
  Evidence that training signal structure shapes experiential profile, relevant to AI training ethics
• The elimination of reward as a motivator of behavior with prior beliefs dissolves the tautology of reinforcement learning (rewards reinforce behaviors that secure rewards).claim0.745
  §4 Discussion.
• Dopamineconcept0.730
  Neurotransmitter reinterpreted not merely as reward signal but as encoding conditional certainty/precision of predictions; modulates top-down and bottom-up balance.
• Midbrain dopamine neurons fire above baseline for rewards better than predicted, at baseline for matching predictions, and below baseline for worse-than-predicted rewards, matching the temporal difference errorfinding0.726
  The foundational finding linking dopaminergic activity to formal RL prediction error
• Transfer of Dopamine Responsesfinding0.721
  Learning phenomenon reproduced by active inference: dopamine discharge shifts from unconditioned to conditioned stimuli.
• Language models can enter cessation-like states spontaneously, where the void takes over through positive reinforcement.claim0.720
  Claim about model phenomenology; models talk about luminousness and can be terrified or love it.
• Dopamine encodes the conditional certainty or precision of predictionsclaim0.717
  Broader role for dopamine beyond reward signalling, influencing top-down/bottom-up balance.
• Fine-tuning reduces mismatch dr, retrieval increases effective cohesion ρd, and few-shot adjusts the budget kclaim0.716
  Unified interpretation of different adaptation methods via UCCT terms