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Motor pattern selection by combinatorial code of interneuronal pathways.
Journal of Computational Neuroscience ( IF 1.5 ) Pub Date : 2008-04-19 , DOI: 10.1007/s10827-008-0093-7
Wolfgang Stein 1 , Oliver Straub , Jessica Ausborn , Wolfgang Mader , Harald Wolf
Affiliation  

We use a modeling approach to examine ideas derived from physiological network analyses, pertaining to the switch of a motor control network between two opposite control modes. We studied the femur-tibia joint control system of the insect leg, and its switch between resistance reflex in posture control and "active reaction" in walking, both elicited by the same sensory input. The femur-tibia network was modeled by fitting the responses of model neurons to those obtained in animals. The strengths of 16 interneuronal pathways that integrate sensory input were then assigned three different values and varied independently, generating a database of more than 43 million network variants. We demonstrate that the same neural network can produce the two different behaviors, depending on the combinatorial code of interneuronal pathways. That is, a switch between behaviors, such as standing to walking, can be brought about by altering the strengths of selected sensory integration pathways.

中文翻译:

通过神经元间通路的组合代码选择运动模式。

我们使用建模方法来检查源自生理网络分析的想法,这些想法与电机控制网络在两种相反控制模式之间的切换有关。我们研究了昆虫腿的股骨-胫骨联合控制系统,以及它在姿势控制中的阻力反射和行走中的“主动反应”之间的转换,两者都是由相同的感官输入引起的。股骨-胫骨网络是通过将模型神经元的反应与在动物身上获得的反应进行拟合来建模的。然后,将整合感觉输入的 16 条神经元间通路的强度分配了三个不同的值并独立变化,生成了一个包含超过 4300 万个网络变体的数据库。我们证明了相同的神经网络可以产生两种不同的行为,这取决于神经元间通路的组合代码。那是,
更新日期:2019-11-01
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