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Title: Nitric oxide diffusion and multi-compartmental systems: modeling and implications
Authors: López, Pablo Fernández
Báez, Patricio García
Suárez Araujo, Carmen Paz 
UNESCO Clasification: 120304 Inteligencia artificial
Keywords: Multi-compartmental systems
Nitric oxide diffusion
Volume transmission
NO generation/synthesis
Diffusion neighbourhood
Issue Date: 2015
Journal: Lecture Notes in Computer Science 
Conference: 22nd International Conference on Neural Information Processing (ICONIP) 
22nd International Conference on Neural Information Processing, ICONIP 2015 
Abstract: The volume transmission (VT), a new type of cellular signaling, is based on the diffusion of neuro-active substances such as Nitric Oxide (NO) in the Extracellular Space (ECS). It is not homogeneous, critically dependent on, and limited by, its structure and physico-chemical properties. We present a different computational model of the NO diffusion based on multi-compartmental systems and transportation phenomena. It allows incorporating these ECS characteristics and the biological features and restrictions of the NO dynamics. This discrete model will allow to determine the NO dynamics and its capabilities in cellular communication and formation of complex structures in biological and artificial environments. This paper addresses the design model and its analysis in one-dimensional and three-dimensional environment, over trapezoidal generation and diffusion processes.
ISBN: 978-3-319-26554-4
ISSN: 0302-9743
DOI: 10.1007/978-3-319-26555-1_59
Source: Arik S., Huang T., Lai W., Liu Q. (eds) Neural Information Processing. ICONIP 2015. Lecture Notes in Computer Science, vol 9491. Springer, Cham
Appears in Collections:Actas de congresos
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