Paper Info
Title
Simulating Influence of Channel Kinetics and Temperature on Hodgkin-Huxley Threshold Dynamics.
Abstract
Information processing in the brain results from the spread and interaction of electrical and chemical signals among neurons. The Hodgkin-Huxley model, describes the spiking and refractory properties of real neurons and serves as a paradigm based on nonlinear conductance of ion channels. Activation of various ion channels establish the spiking behavior of a neuron which determines the communication and coding in nervous system. Firing rates, timing of spikes, and spiking threshold properties are major firing properties of neuronal sparking activities. The temperature influence on neuron spiking threshold regulates the neuronal activities as electrophysiological experiments on neural spiking actions are rarely conducted outside of room temperature in vitro or body temperature in vivo. Temperature changes affect the spiking dynamics of excitable neurons via maximum ion channel conductances and ion channel gating kinetics. The latter has a major impact on changing the shape and amplitude of action potential as well as the generation and propagation of spikes. The purpose of this research is to study, simulate and analyze how the temperature change influence spiking properties of a neuron, channel kinetics as well as activation and inactivation variables of the potassium and sodium channels which determine the dynamics of Hodgkin-Huxley model.
Year
DOI
Venue
2014
10.1016/j.procs.2014.09.022
Procedia Computer Science
Keywords
Field
DocType
brain information processing,spiking neurons,Hodgkin-Huxley model
Data mining,Gating,Biological system,Computer science,Nervous system,Artificial intelligence,Ion channel,Spiking neural network,Sodium channel,Neuron,Electrophysiology,Hodgkin–Huxley model
Conference
Volume
ISSN
Citations 
36
1877-0509
1
PageRank 
References 
Authors
0.34
4
4
Name
Order
Citations
PageRank
George Georgiev154.48
Iren Valova213625.44
Natacha Gueorguieva36312.46
David Brady410.34