Literature DB >> 18513205

Mathematical modelling in neuroendocrinology.

G Leng1, D J Macgregor.   

Abstract

In neuroendocrinology, mathematical modelling is about formalising our understanding of the behaviour of the complex biological systems with which we deal. Formulating our explanations mathematically ensures their logical consistency, and makes them open to structured analysis; it is a stringent test of their intellectual coherence. In addition, however, modellers are seeking to extend our understanding in new ways, by seeking novel, simple explanations for complex behaviour. Here we discuss some styles of modelling as they have been applied to neuroendocrine systems, and discuss some of their strengths and limitations.

Entities:  

Mesh:

Year:  2008        PMID: 18513205     DOI: 10.1111/j.1365-2826.2008.01722.x

Source DB:  PubMed          Journal:  J Neuroendocrinol        ISSN: 0953-8194            Impact factor:   3.627


  4 in total

Review 1.  Neuroendocrinology and its quantitative development: a bioengineering view.

Authors:  Max E Valentinuzzi
Journal:  Biomed Eng Online       Date:  2010-11-04       Impact factor: 2.819

2.  Oxytocin Neurones: Intrinsic Mechanisms Governing the Regularity of Spiking Activity.

Authors:  J Maícas Royo; C H Brown; G Leng; D J MacGregor
Journal:  J Neuroendocrinol       Date:  2016-04       Impact factor: 3.870

Review 3.  Mathematical Modelling of Endocrine Systems.

Authors:  Eder Zavala; Kyle C A Wedgwood; Margaritis Voliotis; Joël Tabak; Francesca Spiga; Stafford L Lightman; Krasimira Tsaneva-Atanasova
Journal:  Trends Endocrinol Metab       Date:  2019-02-21       Impact factor: 12.015

4.  Accurate prediction of birth implementing a statistical model through the determination of steroid hormones in saliva.

Authors:  Silvia Alonso; Sara Cáceres; Daniel Vélez; Luis Sanz; Gema Silvan; Maria Jose Illera; Juan Carlos Illera
Journal:  Sci Rep       Date:  2021-03-10       Impact factor: 4.379

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.