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腹侧被盖区神经元网络编码关于为获取奖励而执行的不确定动作数量的实时信息。

Networks of VTA Neurons Encode Real-Time Information about Uncertain Numbers of Actions Executed to Earn a Reward.

作者信息

Wood Jesse, Simon Nicholas W, Koerner F Spencer, Kass Robert E, Moghaddam Bita

机构信息

Department of Psychiatry, University of PittsburghPittsburgh, PA, United States.

Department of Psychology, University of MemphisMemphis, TN, United States.

出版信息

Front Behav Neurosci. 2017 Aug 8;11:140. doi: 10.3389/fnbeh.2017.00140. eCollection 2017.

Abstract

Multiple and unpredictable numbers of actions are often required to achieve a goal. In order to organize behavior and allocate effort so that optimal behavioral policies can be selected, it is necessary to continually monitor ongoing actions. Real-time processing of information related to actions and outcomes is typically assigned to the prefrontal cortex and basal ganglia, but also depends on midbrain regions, especially the ventral tegmental area (VTA). We were interested in how individual VTA neurons, as well as networks within the VTA, encode salient events when an unpredictable number of serial actions are required to obtain a reward. We recorded from ensembles of putative dopamine and non-dopamine neurons in the VTA as animals performed multiple cued trials in a recording session where, in each trial, serial actions were randomly rewarded. While averaging population activity did not reveal a response pattern, we observed that different neurons were selectively tuned to low, medium, or high numbered actions in a trial. This preferential tuning of putative dopamine and non-dopamine VTA neurons to different subsets of actions in a trial allowed information about binned action number to be decoded from the ensemble activity. At the network level, tuning curve similarity was positively associated with action-evoked noise correlations, suggesting that action number selectivity reflects functional connectivity within these networks. Analysis of phasic responses to cue and reward revealed that the requirement to execute multiple and uncertain numbers of actions weakens both cue-evoked responses and cue-reward response correlation. The functional connectivity and ensemble coding scheme that we observe here may allow VTA neurons to cooperatively provide a real-time account of ongoing behavior. These computations may be critical to cognitive and motivational functions that have long been associated with VTA dopamine neurons.

摘要

通常需要多个且不可预测数量的动作才能实现一个目标。为了组织行为并分配精力,以便能够选择最优的行为策略,持续监控正在进行的动作是必要的。与动作和结果相关的信息的实时处理通常由前额叶皮层和基底神经节负责,但也依赖于中脑区域,尤其是腹侧被盖区(VTA)。我们感兴趣的是,当需要不可预测数量的连续动作来获得奖励时,单个VTA神经元以及VTA内的神经网络如何编码显著事件。在动物进行多次线索试验的记录过程中,我们记录了VTA中假定的多巴胺能神经元和非多巴胺能神经元的集群活动,在每次试验中,连续动作会随机获得奖励。虽然对群体活动进行平均并没有揭示出一种反应模式,但我们观察到不同的神经元在一次试验中被选择性地调整为对低、中或高数量的动作做出反应。假定的多巴胺能和非多巴胺能VTA神经元在一次试验中对不同动作子集的这种优先调整,使得能够从集群活动中解码关于分组动作数量的信息。在网络层面,调谐曲线相似度与动作诱发噪声相关性呈正相关,这表明动作数量选择性反映了这些网络内的功能连接性。对线索和奖励的相位反应分析表明,执行多个且不确定数量动作的要求会削弱线索诱发反应和线索-奖励反应相关性。我们在此观察到的功能连接性和集群编码方案可能使VTA神经元能够协同提供正在进行行为的实时记录。这些计算对于长期以来与VTA多巴胺能神经元相关的认知和动机功能可能至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8875/5550723/c84483fc3891/fnbeh-11-00140-g0009.jpg

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