A biologically constrained spiking neural network model of the primate basal ganglia with overlapping pathways exhibits action selection.
A biologically constrained spiking neural network model of the primate basal ganglia with overlapping pathways exhibits action selection.
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DOI：
10.1111/ejn.14869
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发表时间：
2021-04
期刊：
影响因子：
--
通讯作者：
Doya K
中科院分区：
文献类型：
--
作者：
Girard B;Lienard J;Gutierrez CE;Delord B;Doya K
动作选择被假设为基底神经节的关键功能，但所涉及的核、它们的相互作用以及在此过程中直接/间接通路分离的重要性仍然存在争议。在这里，我们设计了一个源自先前发表的群体模型的猴子基底神经节的尖峰计算模型，最初参数化以再现静止时的电生理活动并体现尽可能多的定量解剖数据。作为一个特殊的特征，这两个模型都表现出在非人类灵长类动物中记录的直接和间接途径之间的强烈重叠。在这里，我们首先展示如何通过添加最少数量的参数来实现从群体模型到单个神经元模型的转换。然后，我们表明我们的模型执行动作选择，即使它是在没有对行为期间进行的活动进行任何假设的情况下构建的。我们通过电路中断研究了这种选择的机制，并发现了 MSN-STN-GPi 电路的偏心/环绕结构以及 MSN-MSN 和 FSI-MSN 投影的重要作用。这验证了它们在实现选择方面的效力。我们最终研究了到达所有基底节核的普遍的中心正中和束旁丘脑输入，因此其影响很难预测。我们的模型预测这些输入会调节动作选择的响应能力，使它们成为决策过程中速度与准确性权衡调节的候选者。我们设计了猴子基底神经节的尖峰模型，该模型源自平均场函数不可知模型。根据猴子神经解剖学数据，其特征是直接和间接途径强烈重叠。我们表明行动选择是所得系统的一个新兴特性，并且它不依赖于直接/间接路径分离。
Action selection has been hypothesized to be a key function of the basal ganglia, yet the nuclei involved, their interactions and the importance of the direct/indirect pathway segregation in such process remain debated. Here, we design a spiking computational model of the monkey basal ganglia derived from a previously published population model, initially parameterized to reproduce electrophysiological activity at rest and to embody as much quantitative anatomical data as possible. As a particular feature, both models exhibit the strong overlap between the direct and indirect pathways that has been documented in non‐human primates. Here, we first show how the translation from a population to an individual neuron model was achieved, with the addition of a minimal number of parameters. We then show that our model performs action selection, even though it was built without any assumption on the activity carried out during behaviour. We investigate the mechanisms of this selection through circuit disruptions and found an instrumental role of the off‐centre/on‐surround structure of the MSN‐STN‐GPi circuit, as well as of the MSN‐MSN and FSI‐MSN projections. This validates their potency in enabling selection. We finally study the pervasive centromedian and parafascicular thalamic inputs that reach all basal ganglia nuclei and whose influence is therefore difficult to anticipate. Our model predicts that these inputs modulate the responsiveness of action selection, making them a candidate for the regulation of the speed–accuracy trade‐off during decision‐making. We designed a spiking model of the basal ganglia of the monkey, derived from a mean‐field function‐agnostic model. Following monkey neuroanatomic data, it is characterized by strongly overlapping direct and indirect pathways. We show action selection is an emerging property of the resulting system and that it does not depend on direct/indirect pathway segregation.
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