title: Shape, connectedness and dynamics in neuronal networks.
abstract: The morphology of neurons is directly related to several aspects of the nervous system, including its connectedness, health, development, evolution, dynamics and, ultimately, behavior. Such interplays of the neuronal morphology can be understood within the more general shape-function paradigm. The current article reviews, in an introductory way, some key issues regarding the role of neuronal morphology in the nervous system, with emphasis on works developed in the authors' group. The following topics are addressed: (a) characterization of neuronal shape; (b) stochastic synthesis of neurons and neuronal systems; (c) characterization of the connectivity of neuronal networks by using complex networks concepts; and (d) investigations of influences of neuronal shape on network dynamics. The presented concepts and methods are useful also for several other multiple object systems, such as protein-protein interaction, tissues, aggregates and polymers.
authors: Instituto de Física de São Carlos, Universidade de São Paulo, São Carlos, SP, Caixa Postal 369, 13560-970, Brazil. Electronic address: chcomin@gmail.com.
authors: Cesar Henrique
authors: CH
authors: Comin
authors: Luciano
authors: L
authors: da Fontoura Costa
mesh_terms: D000818:Animals; D003198:Computer Simulation; D006801:Humans; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D016571:Neural Networks, Computer; D009474:Neurons; D017711:Nonlinear Dynamics
keywords: Complex network; Neural connectivity; Neural network; Neural network creation; Neuron shape