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Realizing Medium Spiny Neurons with a Simple Neuron Model

机译:用简单的神经元模型实现中棘神经元

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Striatal medium spiny neurons (MSNs) constitute input nuclei of the basal ganglia. Most well-known dichotomous of striatal MSNs stem from dopaminergic modulation of striatal processing. Dopamine modulates excitability in striatal MSNs with a complex underlying mechanism and lack of balance in this delicate system leads to pathologies such as Parkinson's disease. On the contrary, investigation of such a system requires simple, but yet comprehensive models that are capable of capturing complex behaviour of MSNs. We propose a reduced-computational but biologically plausible model that mimics the cell dynamics of striatal D_1- and D_2-type MSNs with different levels of dopamine using data from a recent study. Proposed computational model shows good matches to the MSN responses and captures some essential features of MSNs such as first spike latencies, dopamine modulated state transitions and enhanced response to depolarizing input during dopamine intervention.
机译:纹状体中棘神经元(MSN)构成基底神经节的输入核。纹状体MSN的最著名的二分法源于纹状体加工的多巴胺能调节。多巴胺通过复杂的潜在机制调节纹状体MSN的兴奋性,而在这种脆弱的系统中缺乏平衡会导致诸如帕金森氏病的病变。相反,对此类系统的研究需要简单但全面的模型,这些模型必须能够捕获MSN的复杂行为。我们提出了一种简化计算但生物学上可行的模型,该模型使用来自最近研究的数据模拟具有不同水平的多巴胺的纹状体D_1和D_2型MSN的细胞动力学。拟议的计算模型显示出与MSN响应的良好匹配,并捕获了MSN的一些基本特征,例如第一尖峰潜伏期,多巴胺调制的状态转变以及在多巴胺干预期间对去极化输入的增强响应。

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