DocumentCode :
288664
Title :
Numerical simulation of electrochemical interaction between cholinergic and adrenergic neurones
Author :
Miftakhov, R.N. ; Wingate, D.L.
Author_Institution :
Gastrointestinal Sci. Res. Unit, London Hospital Med. Coll., UK
Volume :
4
fYear :
1994
fDate :
27 Jun-2 Jul 1994
Firstpage :
2258
Abstract :
A mathematical model of cholinergic and adrenergic neurones has been developed, based on the electrophysiological data of the dynamics of nerve-pulse propagation along the geometrically non-uniform unmyelinated nerve axon and the pharmacokinetic mechanisms of electrochemical coupling in the cholinergic/adrenergic synapses. The model assumes that adrenoceptors, located at the axo-axonic presynaptic junction, provide a presynaptic inhibition of an excitatory signal transfer via the cholinergic neurone. The model quantitatively describes: (a) the processes of nerve-pulse propagation along the axons, (b) the neurotransmitters´ release, (c) diffusion of their fractions into the synaptic cleft, (d) binding with receptors located on the postsynaptic membranes, and (e) the development of fast excitatory/inhibitory postsynaptic potentials (EPSP/IPSP). Time relationships between the EPSP and IPSP development in the axo-axonal junction are established. The model predicts the dose-dependent influence of adrenergic agonists and antagonists on the dynamics of neural circuit function
Keywords :
bioelectric phenomena; biomembranes; electrochemistry; neurophysiology; numerical analysis; physiological models; adrenergic neurones; adrenoceptors; axo-axonic presynaptic junction; cholinergic neurones; dose-dependent influence; electrochemical interaction; electrochemical synaptic coupling; electrophysiological data; excitatory signal transfer; fast excitatory postsynaptic potentials; fast inhibitory postsynaptic potentials; geometrically nonuniform unmyelinated nerve axon; nerve-pulse propagation dynamics; neural circuit function; neurotransmitter diffusion; neurotransmitters release; numerical simulation; pharmacokinetic mechanisms; postsynaptic membranes; presynaptic inhibition; receptor binding; synaptic cleft; Autonomic nervous system; Biological neural networks; Biomembranes; Chemical elements; Circuits; Equations; Mathematical model; Nerve fibers; Neurotransmitters; Numerical simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
Type :
conf
DOI :
10.1109/ICNN.1994.374569
Filename :
374569
Link To Document :
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