Identifying control ensembles for information processing within the cortico-basal ganglia-thalamic circuit.
Identifying control ensembles for information processing within the cortico-basal ganglia-thalamic circuit.
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DOI：
10.1371/journal.pcbi.1010255
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发表时间：
2022-06
影响因子：
4.3
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中科院分区：
文献类型：
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在行动奖励意外事件具有不确定性的情况下，哺乳动物可以灵活地采取根据环境变化而调整的决策策略。尽管皮质基底节丘脑 (CBGT) 网络已被确定对决策过程做出贡献，但它具有复杂的突触结构，由多个前馈、互惠和反馈路径组成，这使得阐明特定 CBGT 群体在证据积累和影响行为过程中的作用的工作变得复杂。在本文中，我们应用基于拉丁超立方采样的策略采样方法，探索 CBGT 网络属性的变化（包括子群放电率和突触权重）如何映射到规范漂移扩散模型（DDM）中参数的变化，代表决策过程中信息处理的算法方面。通过典型相关分析的应用，我们发现这种关系可以用 CBGT 网络内的三个低维控制集合来表征，这些控制集合影响紧急决策政策的特定质量：响应性（衡量证据评估进行速度的快慢，与皮质丘脑和直接通路的整体活动相关）、顺从性（衡量做出决策所需的证据标准，主要与基底神经节间接通路组成部分的整体活动相关），以及选择（对一种可用选项的承诺的衡量标准，与跨行动渠道的直接和间接路径的差异相关）。这些分析提供了关于特定 CBGT 网络元素在调整信息积累和转化为决策相关行为的方式中的作用的机制预测。哺乳动物不断面临不确定的情况，它们必须在行为选择中做出选择。皮质-基底节-丘脑（CBGT）回路是相互连接的核的复杂集合，据信对适应环境变化的能力有强烈影响。特定 CBGT 组件在决策过程中控制信息中的作用仍不清楚。在更现象学的算法层面，漂移扩散模型已被证明能够重现从哺乳动物实验中获得的行为数据（动作选择概率和做出决策所需的时间），并提供决策策略的抽象表示。在这项工作中，我们使用模拟决策来建立从 CBGT 回路中的神经活动到行为结果的映射。该映射阐明了 CBGT 子网络的三组核心在行动选择过程中的重要性，以及它们如何参与跨剥削性和探索性情况调整决策政策。
In situations featuring uncertainty about action-reward contingencies, mammals can flexibly adopt strategies for decision-making that are tuned in response to environmental changes. Although the cortico-basal ganglia thalamic (CBGT) network has been identified as contributing to the decision-making process, it features a complex synaptic architecture, comprised of multiple feed-forward, reciprocal, and feedback pathways, that complicate efforts to elucidate the roles of specific CBGT populations in the process by which evidence is accumulated and influences behavior. In this paper we apply a strategic sampling approach, based on Latin hypercube sampling, to explore how variations in CBGT network properties, including subpopulation firing rates and synaptic weights, map to variability of parameters in a normative drift diffusion model (DDM), representing algorithmic aspects of information processing during decision-making. Through the application of canonical correlation analysis, we find that this relationship can be characterized in terms of three low-dimensional control ensembles within the CBGT network that impact specific qualities of the emergent decision policy: responsiveness (a measure of how quickly evidence evaluation gets underway, associated with overall activity in corticothalamic and direct pathways), pliancy (a measure of the standard of evidence needed to commit to a decision, associated largely with overall activity in components of the indirect pathway of the basal ganglia), and choice (a measure of commitment toward one available option, associated with differences in direct and indirect pathways across action channels). These analyses provide mechanistic predictions about the roles of specific CBGT network elements in tuning the way that information is accumulated and translated into decision-related behavior. Mammals are continuously subjected to uncertain situations in which they have to choose among behavioral options. The cortico-basal ganglia-thalamic (CBGT) circuit is a complicated collection of interconnected nuclei believed to strongly influence the ability to adapt to environmental changes. The roles of specific CBGT components in controlling information during decisions remain unclear. At a more phenomenological, algorithmic level, drift-diffusion models have been shown to be able to reproduce behavioral data (action selection probabilities and the time needed to make a decision) obtained experimentally from mammals and to provide an abstract representation of a decision policy. In this work, we use simulated decision-making to establish a mapping from neural activity in the CBGT circuit to behavioral outcomes. This mapping illuminates the importance of three core sets of CBGT subnetworks in the action selection process and how they are involved in adapting decision policies across exploitative and exploratory situations.
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影响因子：
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影响因子：
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