Document Detail


Synaptic integration of NMDA and non-NMDA receptors in large neuronal network models solved by means of differential equations.
MedLine Citation:
PMID:  8136409     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Alpha functions are commonly used to describe different receptor channel kinetics (non-NMDA, GABAA and GABAB). In this paper we show that they may be represented as solutions to simple ordinary differential equations. This alternative method is compared with the commonly used direct summation of the alpha function conductances in a high-level neuronal circuit model. A parametric study shows that the differential equation method greatly speeds up the previous summation method. The forward Euler method used to solve this differential equation is shown to be accurate for this type of simulation. The modelling of NMDA receptor channel kinetics is also discussed.
Authors:
C Bernard; Y C Ge; E Stockley; J B Willis; H V Wheal
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Biological cybernetics     Volume:  70     ISSN:  0340-1200     ISO Abbreviation:  Biol Cybern     Publication Date:  1994  
Date Detail:
Created Date:  1994-04-25     Completed Date:  1994-04-25     Revised Date:  2009-09-29    
Medline Journal Info:
Nlm Unique ID:  7502533     Medline TA:  Biol Cybern     Country:  GERMANY    
Other Details:
Languages:  eng     Pagination:  267-73     Citation Subset:  IM    
Affiliation:
Department of Physiology and Pharmacology, Southampton University, UK.
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MeSH Terms
Descriptor/Qualifier:
Animals
Brain / physiology
Kinetics
Mathematics
Membrane Potentials
Models, Neurological*
Nerve Net / physiology*
Neurons / physiology*
Receptors, GABA-A / physiology*
Receptors, GABA-B / physiology*
Receptors, N-Methyl-D-Aspartate / physiology*
Synapses / physiology*
Grant Support
ID/Acronym/Agency:
//Wellcome Trust
Chemical
Reg. No./Substance:
0/Receptors, GABA-A; 0/Receptors, GABA-B; 0/Receptors, N-Methyl-D-Aspartate

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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