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.
ASPECTS OF NEURAL PLASTICITY IN THE CENTRAL-NERVOUS-SYSTEM .2. NUMERICAL CLASSIFICATION IN NEUROANATOMY / Agnati, Luigi Francesco; Zoli, Michele; Benfenati, Fabio; MERLO PICH, Emilio; Grimaldi, R; Fuxe, K.. - In: NEUROCHEMISTRY INTERNATIONAL. - ISSN 0197-0186. - STAMPA. - 16:(1990), pp. 419-425.
ASPECTS OF NEURAL PLASTICITY IN THE CENTRAL-NERVOUS-SYSTEM .2. NUMERICAL CLASSIFICATION IN NEUROANATOMY
AGNATI, Luigi Francesco;ZOLI, Michele;BENFENATI, Fabio;MERLO PICH, Emilio;
1990
Abstract
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.
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