干旱区生态环境知识资源中心(Arid): Minimal Circuit Model of Reward Prediction Error Computations arid Effects of Nicotinic Modulations

Arid

DOI	10.3389/fncir.2018.00116
	Minimal Circuit Model of Reward Prediction Error Computations arid Effects of Nicotinic Modulations
	Deperrois, Nicolas 1; Moiseeva, Victoria 2; Gutkin, Boris 1,2
通讯作者	Gutkin, Boris
来源期刊	FRONTIERS IN NEURAL CIRCUITS
ISSN	1662-5110
出版年	2019
卷号	12
英文摘要	Dopamine (DA) neurons in the ventral tegmental area (VTA) are thought to encode reward prediction errors (RPE) by comparing actual and expected rewards. In recent years, much work has been done to identify how the brain uses and computes this signal. While several lines of evidence suggest the interplay of the DA and the inhibitory interneurons in the VTA implements the RPE computation, it still remains unclear how the DA neurons learn key quantities, for example the amplitude and the timing of primary rewards during conditioning tasks. Furthermore, endogenous acetylcholine and exogenous nicotine, also likely affect these computations by acting on both VTA DA and GABA (gamma -aminobutyric acid) neurons via nicotinic-acetylcholine receptors (nAChRs). To explore the potential circuit-level mechanisms for RPE computations during classical-conditioning tasks, we developed a minimal computational model of the VTA circuitry. The model was designed to account for several reward-related properties of VTA afferents and recent findings on VTA GABA neuron dynamics during conditioning. With our minimal model, we showed that the RPE can be learned by a two-speed process computing reward timing and magnitude. By including models of nAChR-mediated currents in the VTA DA-GABA circuit, we showed that nicotine should reduce the acetylcholine action on the VTA GABA neurons by receptor desensitization and potentially boost DA responses to reward-related signals in a non-trivial manner. Together, our results delineate the mechanisms by which RPE are computed in the brain, and suggest a hypothesis on nicotine-mediated effects on reward-related perception and decision-making.
英文关键词	dopamine reward-prediction error ventral tegmental area acetylcholine nicotine
类型	Article
语种	英语
国家	France ; Russia
开放获取类型	Green Published, Green Submitted, gold
收录类别	SCI-E ; SSCI
WOS记录号	WOS:000455234200001
WOS关键词	PEDUNCULOPONTINE TEGMENTAL NUCLEUS ; MEDIAL PREFRONTAL CORTEX ; DOPAMINE NEURONS ; ACETYLCHOLINE-RECEPTORS ; WORKING-MEMORY ; REINFORCEMENT ; ACCUMBENS ; ADDICTION ; ENCODE ; EXPECTATION
WOS类目	Neurosciences
WOS研究方向	Neurosciences & Neurology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/215814
作者单位	1.PLS Univ, Ecole Normale Super, Grp Neural Theory, LNC2 INSERM U960,DEC, Paris, France; 2.Natl Res Univ, Ctr Cognit & Decis Making, Inst Cognit Neurosci, Higher Sch Econ, Moscow, Russia
推荐引用方式 GB/T 7714	Deperrois, Nicolas,Moiseeva, Victoria,Gutkin, Boris. Minimal Circuit Model of Reward Prediction Error Computations arid Effects of Nicotinic Modulations[J],2019,12.
APA	Deperrois, Nicolas,Moiseeva, Victoria,&Gutkin, Boris.(2019).Minimal Circuit Model of Reward Prediction Error Computations arid Effects of Nicotinic Modulations.FRONTIERS IN NEURAL CIRCUITS,12.
MLA	Deperrois, Nicolas,et al."Minimal Circuit Model of Reward Prediction Error Computations arid Effects of Nicotinic Modulations".FRONTIERS IN NEURAL CIRCUITS 12(2019).