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The complex interactions in the brain make it a perfect candidate to apply network theory. Neurons in the brain are deeply connected with one another and this results in complex networks being present in the structural and functional aspects of the brain. For instance, small-world network properties have been demonstrated in connections between cortical areas of the primate brain or during swallowing in humans. This suggests that cortical areas of the brain are not directly interacting with each other, but most areas can be reached from all others through only a few interactions.

The complex interactions in the brain make it a perfect candidate to apply network theory. Neurons in the brain are deeply connected with one another and this results in complex networks being present in the structural and functional aspects of the brain. For instance, small-world network properties have been demonstrated in connections between cortical areas of the primate brain or during swallowing in humans. This suggests that cortical areas of the brain are not directly interacting with each other, but most areas can be reached from all others through only a few interactions.

大脑中神经元之间复杂的相互作用使其成为应用网络理论的绝佳场景。大脑中的神经元彼此之间有着紧密的联系，其相互交织形成的复杂网络是人脑结构和功能的基础。例如，灵长类动物大脑皮层区域之间的连接或者人类吞咽时神经网络的行为已经证明了，这二者都具有'''<font color="#ff8000">小世界网络属性Small-World Network </font>'''。这表明大脑皮层各区域之间并不直接进行相互作用，而是大部分区域可以通过少量的节点区域进行相互沟通。

大脑中神经元之间复杂的相互作用使其成为应用网络理论的绝佳场景。大脑中的神经元彼此之间有着紧密的联系，其相互交织形成的复杂网络是人脑结构和功能的基础。例如，灵长类动物大脑皮层区域之间的连接或者人类吞咽时神经网络的行为已经证明了，这二者都具有'''<font color="#ff8000">小世界网络属性Small-World Network </font>'''。这表明大脑皮层各区域之间并不直接进行相互作用，而是大部分区域通过少量的节点区域进行相互沟通。

===Food webs===

===Food webs===