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首页> 外文期刊>Neural Networks: The Official Journal of the International Neural Network Society >A spiking neuron model of the cortico-basal ganglia circuits for goal-directed and habitual action learning
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A spiking neuron model of the cortico-basal ganglia circuits for goal-directed and habitual action learning

机译:皮质基底神经节回路的尖刺神经元模型,用于目标定向和习惯性动作学习

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摘要

Dual-system theories postulate that actions are supported either by a goal-directed or by a habit-driven response system. Neuroimaging and anatomo-functional studies have provided evidence that the prefrontal cortex plays a fundamental role in the first type of action control, while internal brain areas such as the basal ganglia are more active during habitual and overtrained responses. Additionally, it has been shown that areas of the cortex and the basal ganglia are connected through multiple parallel "channels", which are thought to function as an action selection mechanism resolving competitions between alternative options available in a given context.In this paper we propose a multi-layer network of spiking neurons that implements in detail the thalamo-cortical circuits that are believed to be involved in action learning and execution. A key feature of this model is that neurons are organized in small pools in the motor cortex and form independent loops with specific pools of the basal ganglia where inhibitory circuits implement a multistep selection mechanism.The described model has been validated utilizing it to control the actions of a virtual monkey that has to learn to turn on briefly flashing lights by pressing corresponding buttons on a board. When the animal is able to fluently execute the task the button-light associations are remapped so that it has to suppress its habitual behavior in order to execute goal-directed actions.The model nicely shows how sensory-motor associations for action sequences are formed at the cortico-basal ganglia level and how goal-directed decisions may override automatic motor responses.
机译:双系统理论假定,行动是由目标导向或习惯驱动的响应系统支持的。神经影像学和解剖学功能研究提供了证据,前额叶皮层在第一类动作控制中起着基本作用,而内部神经区域(如基底神经节)在习惯性和过度训练的反应中更活跃。此外,已经表明,皮质和基底神经节的区域通过多个平行的“通道”相连,这些通道被认为是一种动作选择机制,可以解决给定情况下可用的备选方案之间的竞争。尖峰神经元的多层网络,详细实现了丘脑-皮层回路,据信它们参与了动作学习和执行。该模型的主要特征是神经元被组织在运动皮层的小池中,并与基底神经节的特定池形成独立的回路,其中抑制回路实现了多步选择机制。虚拟猴子的形象,必须学会通过按下板上的相应按钮来打开短暂闪烁的灯光。当动物能够流畅地执行任务时,将重新映射按钮-灯光关联,以便其必须抑制其习惯性行为才能执行目标导向的动作。该模型很好地展示了如何形成动作序列的感觉运动关联皮质基底神经节的水平以及目标决定如何影响自动运动反应。

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