Mathematics for the life sciences: calculus, modeling, probability, and dynamical systems

2014 ◽  
Vol 51 (12) ◽  
pp. 51-6801-51-6801
F1000Research ◽  
2019 ◽  
Vol 8 ◽  
pp. 646
Author(s):  
Dániel Leitold ◽  
Ágnes Vathy-Fogarassy ◽  
János Abonyi

The network science-based determination of driver nodes and sensor placement has become increasingly popular in the field of dynamical systems over the last decade. In this paper, the applicability of the methodology in the field of life sciences is introduced through the analysis of the neural network of Caenorhabditis elegans. Simultaneously, an Octave and MATLAB-compatible NOCAD toolbox is proposed that provides a set of methods to automatically generate the relevant structural controllability and observability associated measures for linear or linearised systems and compare the different sensor placement methods.


2011 ◽  
Vol 21 (03) ◽  
pp. 815-867 ◽  
Author(s):  
LUCIANO BOI

The aim of this article is to review some basic concepts of the geometric theory of dynamical systems and stability. In this context, we also consider the related fundamental notions of broken symmetry, bifurcation and chaos. That of bifurcation is a very sophisticated mathematical concept, which displays a number of local and global behaviors of those spaces within which a large variety of natural forms unfold. The suited theoretical framework for understanding deeply the concept of bifurcation is the study of singularities of mappings, their topological structures and their classification into equivalence classes. Furthermore, we consider the fundamental role played by the phenomena of breaking symmetry and chaos in the evolution and organization of various natural and living systems. In the last part of the paper, we present some striking features and results of nonlinearity and stability in the framework of the geometrical theory of dynamical systems.


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