37 lines
1.2 KiB
Markdown
37 lines
1.2 KiB
Markdown
---
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id: wiki-2026-0508-dopaminergic-reward-systems
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title: Dopaminergic Reward Systems
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category: 10_Wiki/Topics
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status: duplicate
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canonical_id: wiki-2026-0508-computational-neuroscience-rl
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duplicate_of: "[[Computational-Neuroscience-RL]]"
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aliases: [dopamine, reward prediction error, RPE, mesolimbic, VTA, NAc, motivation]
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source_trust_level: A
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confidence_score: 0.9
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verification_status: redirected
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tags: [duplicate, neuroscience, dopamine, rl]
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last_reinforced: 2026-05-10
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github_commit: pending
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---
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# Dopaminergic Reward Systems
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> **이 문서는 [[Computational-Neuroscience-RL]] 의 sub-concept 입니다.** Canonical 문서로 redirect.
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## 핵심 요약
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- 매 dopamine = 매 reward prediction error (Schultz).
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- 매 mesolimbic (VTA → NAc) 의 motivation circuit.
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- 매 tonic + phasic release.
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- 매 addiction = 매 hijack of natural reward.
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- 매 AI RL 의 inspiration ([[Computational-Neuroscience-RL]] 참조).
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## 🔗 Graph
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- 부모: [[Computational-Neuroscience-RL]] (canonical)
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- Adjacent: [[Addiction-Neuroscience]] · [[Brain-Derived Neurotrophic Factor (BDNF)]] · [[Bayesian-Brain-Hypothesis]] · [[Cognitive-Evaluation-Theory]]
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## 🕓 변경 이력
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| 날짜 | 변경 |
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|---|---|
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| 2026-05-08 | Phase 1 |
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| 2026-05-10 | 중복 처리 |
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