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Modeling basal ganglia circuits with mass model equations

机译:用质量模型方程建模基底神经节回路

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In order to understand the cognitive processes, motor actions and the behavioral deficits and neurological disorders rising due to malfunctioning of the related neuronal structures, models at different levels are proposed in computational neuroscience. Models developed considering the nonlinear and distributed working principles of neural structures help to reconstruct the processes but are far away from giving an explicit understanding of the phenomena due to their complexity. However, it is not possible to understand these processes thoroughly with very simple models. To build a relation between these different levels of models and to build a mechanism for understanding these processes, in this work linear model approach is considered. Basal ganglia circuits which are effective in motor action initiation, decision making and action selection is considered and in order to guide through more complex computational models and to understand the working principle, a linear system approach is considered. Though the model proposed is very simple, it gives enough insight to understand the role of basal ganglia circuits and the model is able to show the role of dopamine on modulating the inputs from cortex.
机译:为了了解由于相关神经元结构失灵而引起的认知过程,运动行为,行为缺陷和神经系统疾病,在计算神经科学中提出了不同级别的模型。考虑到神经结构的非线性和分布式工作原理而开发的模型有助于重构过程,但由于其复杂性而无法提供对现象的明确理解。但是,用非常简单的模型不可能完全理解这些过程。为了在这些不同级别的模型之间建立关系并建立一种理解这些过程的机制,本文考虑了线性模型方法。考虑了在运动动作启动,决策和动作选择方面有效的基底神经节回路,并且为了指导更复杂的计算模型并理解工作原理,考虑了线性系统方法。尽管提出的模型非常简单,但是它提供了足够的洞察力来理解基底神经节回路的作用,并且该模型能够显示多巴胺在调节皮质输入中的作用。

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