Sautois Bart, Soffe Stephen R, Li Wen-Chang, Roberts Alan
Department of Applied Mathematics and Computer Science, Ghent University, Krijgslaan 281-S9, B-9000 Ghent, Belgium.
J Comput Neurosci. 2007 Aug;23(1):59-77. doi: 10.1007/s10827-006-0019-1. Epub 2007 Jan 20.
Recent recordings from spinal neurons in hatchling frog tadpoles allow their type-specific properties to be defined. Seven main types of neuron involved in the control of swimming have been characterized. To investigate the significance of type-specific properties, we build models of each neuron type and assemble them into a network using known connectivity between: sensory neurons, sensory pathway interneurons, central pattern generator (CPG) interneurons and motoneurons. A single stimulus to a sensory neuron initiates swimming where modelled neuronal and network activity parallels physiological activity. Substitution of firing properties between neuron types shows that those of excitatory CPG interneurons are critical for stable swimming. We suggest that type-specific neuronal properties can reflect the requirements for involvement in one particular network response (like swimming), but may also reflect the need to participate in more than one response (like swimming and slower struggling).
最近对孵化期青蛙蝌蚪脊髓神经元的记录使得它们特定类型的特性得以明确。已对参与控制游泳的七种主要神经元类型进行了表征。为了研究特定类型特性的重要性,我们构建了每种神经元类型的模型,并利用感觉神经元、感觉通路中间神经元、中枢模式发生器(CPG)中间神经元和运动神经元之间已知的连接性将它们组装成一个网络。对感觉神经元的单次刺激会引发游泳,此时模拟的神经元和网络活动与生理活动相似。神经元类型之间放电特性的替换表明,兴奋性CPG中间神经元的特性对于稳定游泳至关重要。我们认为,特定类型的神经元特性可以反映参与一种特定网络反应(如游泳)的需求,但也可能反映参与多种反应(如游泳和较慢的挣扎)的需求。