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Title: Dynamic of nitric oxide diffusion in volume transmission: model and validation
Authors: Fernández López, Pablo Carmelo 
García Báez, Patricio 
Suárez Araujo, Carmen Paz 
UNESCO Clasification: 1203 Ciencia de los ordenadores
2490 Neurociencias
Keywords: Nitric oxide
Volume transmission
No dynamics
Fast diffusion neural propagation
Bessel functions
Issue Date: 2014
Publisher: Springer
Journal: Lecture Notes in Computer Science 
Conference: 21st International Conference on Neural Information Processing (ICONIP 2014) 
Abstract: Cellular communiction is one mechanism that connects nerve cells to cognition. At present it seems that synaptic transmission may not be the only type of signal processing between cells. Volume transmission (VT) is a process that is performed by means of a gas diffusion process, which is obtained with a diffusive type of signal. This work shows a Diffusion Model for NO based on Bessel Functions that are valid for homogeneous and isotropic environments for instantaneous generation and their diffusion occurs while being constrained by cylindrical morphology. The model is validated with experimental data from the dynamic behaviour of NO in endothelium cells. Capacities are analysed in the study of the Diffusion and Autoregulation of NO, and their role in Fast Diffusion Neural Propagaton of NO is observed.
ISBN: 978-3-319-12636-4
ISSN: 0302-9743
DOI: 10.1007/978-3-319-12637-1_7
Source: Neural Information Processing. ICONIP 2014. Lecture Notes in Computer Science, v. 8834 LNCS, p. 50-58, (2014)
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