Paper Info
Title
Study on the synchrony intensity threshold of two uncoupled neurons under different currents' stimulation
Abstract
The input current of two uncoupled Hindmarsh-Rose neurons under different initial conditions is modulated by the different membrane potential of the Hindmarsh-Rose neuron; and the synchrony intensity threshold of two uncoupled neurons under different currents' stimulation by calculating and analyzing their maximum absolute phase difference.Under different simulation signals, the two uncoupled neurons can realize the phase synchronization or the full synchronization, and the stimulation intensity threshold of the two uncoupled neurons' realizing synchronization is different. According to the signal's complexity, the more complex the stimulation signal is, the smaller its intensity threshold to realize the two uncoupled neurons' synchronization is. Under the chaos signal's stimulation, its intensity threshold to realize the two uncoupled neurons' synchronization is smaller than the period signal, and is easier than the period signal to realize the two uncoupled neurons' synchronization. So the chaos discharge paterns is more favourable to signals' expression and transmission in neural system. From the calcium ion's effect, the smaller the stimulation neuron's parameter r is, the smaller the effect of the stimulation signal's calcium ion is, the easier the two uncoupled neurons realize synchronization. So the stimulation signal whose calcium ion's effect is large isn't easy to realize the two uncouple neurons' synchronization. This investigation shows the synchrony intensity threshold's rule of two uncoupled neurons under different currents' stimulation. These results are helpful to study synchronization and encode of many neurons or neural network.
Year
DOI
Venue
2011
10.1007/978-3-642-21105-8_6
ISNN (1)
Keywords
Field
DocType
uncoupled hindmarsh-rose neuron,synchrony intensity threshold,stimulation signal,period signal,calcium ion,phase synchronization,full synchronization,intensity threshold,uncoupled neuron,different current,neural network,membrane potential,initial condition
Absolute phase,Membrane potential,Biological system,Control theory,Computer science,Neural system,Artificial intelligence,Artificial neural network,Neuron,Stimulation,Synchronization,Pattern recognition,Phase synchronization
Conference
Volume
ISSN
Citations 
6675
0302-9743
1
PageRank 
References 
Authors
0.48
3
1
Name
Order
Citations
PageRank
Yueping Peng163.75