Center for Integrative Brain Research, Seattle Children's Research Institute, 1900 9th Street, Seattle, WA 98101, USA.
Integr Comp Biol. 2011 Dec;51(6):856-68. doi: 10.1093/icb/icr099. Epub 2011 Aug 19.
Neuronal networks are highly plastic and reconfigure in a state-dependent manner. The plasticity at the network level emerges through multiple intrinsic and synaptic membrane properties that imbue neurons and their interactions with numerous nonlinear properties. These properties are continuously regulated by neuromodulators and homeostatic mechanisms that are critical to maintain not only network stability and also adapt networks in a short- and long-term manner to changes in behavioral, developmental, metabolic, and environmental conditions. This review provides concrete examples from neuronal networks in invertebrates and vertebrates, and illustrates that the concepts and rules that govern neuronal networks and behaviors are universal.
神经网络具有高度的可塑性，并以依赖于状态的方式重新配置。网络层面的可塑性源于多种内在和突触膜特性，这些特性赋予神经元及其相互作用以多种非线性特性。这些特性受到神经调质和动态平衡机制的持续调节，这些机制对于维持网络稳定性以及使网络在短期和长期内适应行为、发育、代谢和环境条件的变化至关重要。本综述提供了无脊椎动物和脊椎动物神经元网络的具体实例，并说明了支配神经元网络和行为的概念和规则是普遍适用的。
