Optogenetic control of dopamine neurons for operant reinforcement in mice쥐의 도파민 뉴런에 대한 광유전학 조절을 통한 조작적 강화

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Activation of dopamine receptors in forebrain regions, for minutes or longer, is known to be sufficient for positive reinforcement of stimuli and actions. However, the firing rate of dopamine neurons is increased for only about 200 milliseconds following natural re-ward events that are better than expected, a response which has been described as a “reward prediction error” (RPE). Although RPE drives reinforcement learning (RL) in computational models, it has not been possible to directly test whether the transient dopamine signal actually drives RL. Here we have performed optical stimulation of genetically targeted ventral tegmental area (VTA) dopamine neurons expressing Channelrhodopsin-2 (ChR2) in mice. We mimicked the transient activation of dopamine neurons that occurs in response to natural reward by applying a light pulse of 200 ms in VTA. When a single light pulse followed each self-initiated nose poke, it was sufficient in itself to cause operant reinforcement. Furthermore, when optical stimulation was delivered in separate sessions according to a predetermined pattern, it increased locomotion and contralateral rotations, behaviors that are known to result from activation of dopamine neurons. All three of the optically induced operant and locomotor behaviors were tightly correlated with the number of VTA dopamine neurons that expressed ChR2, providing additional evidence that the behavioral responses were caused by activation of dopamine neurons. These results provide strong evidence that the transient activation of dopamine neurons provides a functional reward signal that drives learning, in support of RL theories of dopamine function.
Advisors
Christopher D. Fiorilloresearcher피오릴로
Description
한국과학기술원 : 바이오및뇌공학과,
Publisher
한국과학기술원
Issue Date
2012
Identifier
511404/325007  / 020047933
Language
eng
Description

학위논문(박사) - 한국과학기술원 : 바이오및뇌공학과, 2012.8, [ iii, 52 p. ]

Keywords

Dopamine; reward prediction error; reinforcement learning; 도파민; 보상-예측 오류; 조작적 강화; 광유전학; optogenetics

URI
http://hdl.handle.net/10203/179783
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=511404&flag=dissertation
Appears in Collection
BiS-Theses_Ph.D.(박사논문)
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