DocumentCode :
3213156
Title :
A continuum neuronal tissue model based on a two-compartmental representation of cells
Author :
Al Abed, Amr ; Lovell, Nigel H. ; Suaning, Gregg J. ; Dokos, Socrates
Author_Institution :
Grad. Sch. of Biomed. Eng., Univ. of New South Wales, Sydney, NSW, Australia
fYear :
2013
fDate :
3-7 July 2013
Firstpage :
6543
Lastpage :
6546
Abstract :
Although significant advances have been made in continuum modeling of cardiac and smooth muscle tissue, the progress in neuronal continuum modeling has been slower. In this paper, a continuum neuronal tissue model based on a two-compartmental representation of cells is presented. Each neuron is described using both a somatic compartment modeled by the classical Hodgkin-Huxley current kinetics and a dendritic compartment based on a passive RC formulation. In addition, a synaptic current is fed into the dendritic compartment to account for the presynaptic influence of cells located within the dendritic field of each soma. A number of cases are simulated, including intracellular current injection into either the dendritic or somatic compartments, as well as extracellular current stimulation with and without synaptic input into neurons. The model incorporates a number of parameters controlling neuronal excitability which can be adjusted to validate each neuron´s responses against experimental data, allowing for the modeling of different neuronal cell types and behaviors.
Keywords :
RC circuits; bioelectric phenomena; biological tissues; cellular biophysics; neural nets; neurophysiology; physiological models; cardiac tissue; cell presynaptic influence; cellular two-compartmental representation; classical Hodgkin-Huxley current kinetics; continuum neuronal tissue model; dendritic compartment; dendritic field; extracellular current stimulation; intracellular current injection; neuron response; neuronal cell behavior; neuronal cell type; neuronal continuum modeling; neuronal excitability parameter; passive RC formulation; smooth muscle tissue; somatic compartment model; synaptic current; synaptic input; Biological system modeling; Brain modeling; Computational modeling; Electric potential; Extracellular; Neurons; Retina;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2013.6611054
Filename :
6611054
Link To Document :
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