We set up the notion of neuron morphometric complexity, with the goal of quantify the degree of similarity vs. dissimilarity (i.e. homogeneity vs. heterogeneity) of a set of neurons located in close proximity with one another in a specific brain area, the motor cortex, the region of the cerebral cortex involved in the control and execution of voluntary movements. To illustrate the relevance of this approach we present a study aimed to estimate the neuronal cell complexity and rank the morphometric complexity motor cortical complexity across different mammalian species. Moreover, we compare the structural organization of the cerebral motor cortex across different mammalian species, of the horse with that of and selected primate species like chimpanzee and monkey. We highlight that assessment of neuronal cell complexity can be effectively done by using a suitable measure of statistical dispersion such as the mean absolute deviation – MAD. In many different research fields, this concept of complexity has captured the interest of researchers and practitioners such as economists. Several scientific works have been dedicated to the study of economic complexity, both from the theoretical and the empirical point of view. Therefore today this issue is a real research area, rich of contributions and ideas. The importance of this topic is explained by the assumption that growth and development of a country mainly depend on the capabilities (human and physical capital, legal system, institutions, etc.) required to produce varied and sophisticated goods. Machinery and some types of chemicals are highly sophisticated goods; row materials and agricultural products are unsophisticated goods. In other words economic development depends on economic complexity.

On the complexity issue from neuroscience to economics: scatter-based ranks’ estimation

PERUFFO, ANTONELLA
2016

Abstract

We set up the notion of neuron morphometric complexity, with the goal of quantify the degree of similarity vs. dissimilarity (i.e. homogeneity vs. heterogeneity) of a set of neurons located in close proximity with one another in a specific brain area, the motor cortex, the region of the cerebral cortex involved in the control and execution of voluntary movements. To illustrate the relevance of this approach we present a study aimed to estimate the neuronal cell complexity and rank the morphometric complexity motor cortical complexity across different mammalian species. Moreover, we compare the structural organization of the cerebral motor cortex across different mammalian species, of the horse with that of and selected primate species like chimpanzee and monkey. We highlight that assessment of neuronal cell complexity can be effectively done by using a suitable measure of statistical dispersion such as the mean absolute deviation – MAD. In many different research fields, this concept of complexity has captured the interest of researchers and practitioners such as economists. Several scientific works have been dedicated to the study of economic complexity, both from the theoretical and the empirical point of view. Therefore today this issue is a real research area, rich of contributions and ideas. The importance of this topic is explained by the assumption that growth and development of a country mainly depend on the capabilities (human and physical capital, legal system, institutions, etc.) required to produce varied and sophisticated goods. Machinery and some types of chemicals are highly sophisticated goods; row materials and agricultural products are unsophisticated goods. In other words economic development depends on economic complexity.
2016
c.MET 05 Centro Interuniversitario di Economia Applicata alle Politiche per l'Industria lo Sviluppo Locale e l'Internazionalizzazione
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3188195
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