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基底神经节神经机器人模型的模拟多巴胺调节

Simulated Dopamine Modulation of a Neurorobotic Model of the Basal Ganglia.

作者信息

Prescott Tony J, Montes González Fernando M, Gurney Kevin, Humphries Mark D, Redgrave Peter

机构信息

Department of Computer Science, University of Sheffield, Sheffield S10 2TN, UK.

Departamento de Inteligencia Artificial, Universidad Veracruzana, Veracruz 91090, Mexico.

出版信息

Biomimetics (Basel). 2024 Feb 25;9(3):139. doi: 10.3390/biomimetics9030139.

Abstract

The vertebrate basal ganglia play an important role in action selection-the resolution of conflicts between alternative motor programs. The effective operation of basal ganglia circuitry is also known to rely on appropriate levels of the neurotransmitter dopamine. We investigated reducing or increasing the tonic level of simulated dopamine in a prior model of the basal ganglia integrated into a robot control architecture engaged in a foraging task inspired by animal behaviour. The main findings were that progressive reductions in the levels of simulated dopamine caused slowed behaviour and, at low levels, an inability to initiate movement. These states were partially relieved by increased salience levels (stronger sensory/motivational input). Conversely, increased simulated dopamine caused distortion of the robot's motor acts through partially expressed motor activity relating to losing actions. This could also lead to an increased frequency of behaviour switching. Levels of simulated dopamine that were either significantly lower or higher than baseline could cause a loss of behavioural integration, sometimes leaving the robot in a 'behavioral trap'. That some analogous traits are observed in animals and humans affected by dopamine dysregulation suggests that robotic models could prove useful in understanding the role of dopamine neurotransmission in basal ganglia function and dysfunction.

摘要

脊椎动物的基底神经节在动作选择中发挥着重要作用,即解决不同运动程序之间的冲突。已知基底神经节回路的有效运作依赖于神经递质多巴胺的适当水平。我们在一个整合到机器人控制架构中的基底神经节先前模型中,研究了降低或增加模拟多巴胺的紧张性水平,该机器人控制架构参与了一项受动物行为启发的觅食任务。主要发现是,模拟多巴胺水平的逐渐降低导致行为变慢,在低水平时则无法启动运动。这些状态通过增加显著性水平(更强的感觉/动机输入)得到部分缓解。相反,模拟多巴胺的增加通过与失败动作相关的部分表达的运动活动导致机器人运动行为的扭曲。这也可能导致行为切换频率增加。显著低于或高于基线的模拟多巴胺水平可能导致行为整合的丧失,有时会使机器人陷入“行为陷阱”。在受多巴胺调节异常影响的动物和人类中观察到一些类似特征,这表明机器人模型可能有助于理解多巴胺神经传递在基底神经节功能和功能障碍中的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7a20/10967936/aa8f86710a0e/biomimetics-09-00139-g001.jpg

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