Agnati L F, Zoli M, Benfenati F, Pich E M, Grimaldi R, Fuxe K
Institute of Human Physiology, University of Modena, Via Campi 287, 41100 Modena, Italy.
Neurochem Int. 1990;16(4):419-25. doi: 10.1016/0197-0186(90)90003-c.
The possibility of using taxonomic techniques to classify neuronal populations was explored. In particular, coefficients of similarity such as the Canberra metric and the Shannon diversity index were examined. The theoretical work in the field of numerical classification was adapted to the aim of characterizing various brain areas in classes according to their transmitter contents. The study of neuropeptide distribution in 15 brain areas clearly demonstrated that, of these, the hypothalamus is particularly noteworthy due to its higher neuropeptide content.
探讨了使用分类技术对神经元群体进行分类的可能性。特别地，研究了诸如堪培拉度量和香农多样性指数等相似性系数。数值分类领域的理论工作被应用于根据不同脑区的递质含量对其进行分类的目的。对15个脑区神经肽分布的研究清楚地表明，其中下丘脑因其较高的神经肽含量而特别值得关注。
