DocumentCode
579774
Title
Firing Activity Induced by Nonidentical Signal Phases in Two Coupled Excitable Neurons
Author
Liang, Xiaoming ; Zhao, Liang
Author_Institution
Inst. of Math. & Comput. Sci., Univ. of Sao Paulo, Sao Carlos, Brazil
fYear
2012
fDate
20-25 Oct. 2012
Firstpage
97
Lastpage
101
Abstract
In this paper, we study the firing activity of two coupled excitable neurons with sub threshold periodic signalsfootnote{A sub threshold signal means that the signal is too weak to make the neuron firing.}. Particularly, we find that the two coupled excitable neurons can generate spikes to the sub threshold signals with no identical signal phases, indicating that the nonidentical signal phases play an active role for enhancing neuronal response to weak signals. Moreover, we find that regular spikes can be generated by neurons if the level of nonidentical signal phases is at an intermediate value and thus resulting in a resonance-like phenomenon. Furthermore, under the influence of nonidentical signal phases, the regularity of the firing activity also exhibits a resonance-like dependency on the value of coupling coefficient. Finally, we give a explanation to analyze the mechanism of these two types of resonance behavior. We believe that the phenomena found in this paper will be useful for designing neural information processing systems.
Keywords
neural nets; signal processing; coupled excitable neurons; coupling coefficient; firing activity regularity; neural information processing systems; neuronal response enhancement; nonidentical signal phases; resonance behavior; resonance-like dependency; resonance-like phenomenon; spike generation; subthreshold periodic signals; weak signals; Complex networks; Couplings; Neurons; Noise; Stochastic resonance; Trajectory; Excitable neurons; coupling coefficient; firing activity; nonidentical signal phases; subthreshold signal;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks (SBRN), 2012 Brazilian Symposium on
Conference_Location
Curitiba
ISSN
1522-4899
Print_ISBN
978-1-4673-2641-4
Type
conf
DOI
10.1109/SBRN.2012.18
Filename
6374831
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