---
id: wiki-2026-0508-dopaminergic-reward-systems
title: Dopaminergic Reward Systems
category: 10_Wiki/Topics
status: duplicate
canonical_id: wiki-2026-0508-computational-neuroscience-rl
duplicate_of: "[[Computational-Neuroscience-RL]]"
aliases: [dopamine, reward prediction error, RPE, mesolimbic, VTA, NAc, motivation]
source_trust_level: A
confidence_score: 0.9
verification_status: redirected
tags: [duplicate, neuroscience, dopamine, rl]
last_reinforced: 2026-05-10
github_commit: pending
---

# Dopaminergic Reward Systems

> **이 문서는 [[Computational-Neuroscience-RL]] 의 sub-concept 입니다.** Canonical 문서로 redirect.

## 핵심 요약
- 매 dopamine = 매 reward prediction error (Schultz).
- 매 mesolimbic (VTA → NAc) 의 motivation circuit.
- 매 tonic + phasic release.
- 매 addiction = 매 hijack of natural reward.
- 매 AI RL 의 inspiration ([[Computational-Neuroscience-RL]] 참조).

## 🔗 Graph
- 부모: [[Computational-Neuroscience-RL]] (canonical)
- Adjacent: [[Addiction Neuroscience]] · [[Brain-Derived Neurotrophic Factor (BDNF)]] · [[Bayesian-Brain-Hypothesis]] · [[Cognitive-Evaluation-Theory]]

## 🕓 변경 이력
| 날짜 | 변경 |
|---|---|
| 2026-05-08 | Phase 1 |
| 2026-05-10 | 중복 처리 |