更改

</ref>与皮层神经元的同步网络<ref name="a31">#Yu, Shan; D. Huang; W. Singer; D. Nikolić (2008). "[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2583154 A Small World of Neuronal Synchrony]". Cerebral Cortex. 18 (12): 2891–2901. doi:10.1093/cercor/bhn047. PMC 2583154 Freely accessible. PMID 18400792.</ref>都体现出了小世界拓扑结构。

</ref>与皮层神经元的同步网络<ref name="a31">#Yu, Shan; D. Huang; W. Singer; D. Nikolić (2008). "[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2583154 A Small World of Neuronal Synchrony]". Cerebral Cortex. 18 (12): 2891–2901. doi:10.1093/cercor/bhn047. PMC 2583154 Freely accessible. PMID 18400792.</ref>都体现出了小世界拓扑结构。

小世界神经元网络可以呈现出[https://en.wikipedia.org/wiki/Short-term_memory 短期记忆]。Solla等人提出的计算机模型具有两个稳定状态<ref name="a32">#Cohen, Philip. [https://www.newscientist.com/article.ns?id=dn5012 Small world networks key to memory]. New Scientist. 26 May 2004.</ref><ref name="a33">#Sara Solla's [http://online.itp.ucsb.edu/online/brain04/solla/ Lecture & Slides: Self-Sustained Activity in a Small-World Network of Excitable Neurons]</ref>——一种被认为在[https://en.wikipedia.org/wiki/Memory 记忆]存储中十分重要的特性（被称为[https://en.wikipedia.org/wiki/Bistability 双稳态]）。激活脉冲在神经元之间产生自我维持的通信活动循环。第二波脉冲则终止这一活动。脉冲让这一系统在稳定状态间切换：流动（记录“记忆”）以及停滞（保留记忆）。小世界神经元网络也被用于建模，了解[https://en.wikipedia.org/wiki/Seizures 病情发作]的原理。<ref name="a34">#Ponten, S.C.; Bartolomei, F.; Stam, C.J. (April 2007). "Small-world networks and epilepsy: Graph theoretical analysis of intracerebrally recorded mesial temporal lobe seizures". Clinical Neurophysiology. 118 (4): 918–927. doi:10.1016/j.clinph.2006.12.002.</ref>

小世界神经元网络可以呈现出短期记忆。Solla等人提出的计算机模型具有两个稳定状态<ref name="a32">#Cohen, Philip. [https://www.newscientist.com/article.ns?id=dn5012 Small world networks key to memory]. New Scientist. 26 May 2004.</ref><ref name="a33">#Sara Solla's [http://online.itp.ucsb.edu/online/brain04/solla/ Lecture & Slides: Self-Sustained Activity in a Small-World Network of Excitable Neurons]</ref>——一种被认为在记忆存储中十分重要的特性（被称为[https://en.wikipedia.org/wiki/Bistability 双稳态]）。激活脉冲在神经元之间产生自我维持的通信活动循环。第二波脉冲则终止这一活动。脉冲让这一系统在稳定状态间切换：流动（记录“记忆”）以及停滞（保留记忆）。小世界神经元网络也被用于建模，了解[https://en.wikipedia.org/wiki/Seizures 病情发作]的原理。<ref name="a34">#Ponten, S.C.; Bartolomei, F.; Stam, C.J. (April 2007). "Small-world networks and epilepsy: Graph theoretical analysis of intracerebrally recorded mesial temporal lobe seizures". Clinical Neurophysiology. 118 (4): 918–927. doi:10.1016/j.clinph.2006.12.002.</ref>

在更一般的层次上，大脑中的许多大规模神经网络，例如视觉系统和脑干，都体现出了小世界特性。<ref name="a5"></ref>

在更一般的层次上，大脑中的许多大规模神经网络，例如视觉系统和脑干，都体现出了小世界特性。<ref name="a5"></ref>