DocumentCode :
406135
Title :
Stochastic resonance in a single bistable neuron and its application
Author :
Jianghai, Duan ; Aiguo, Song ; Yiqing, Wang ; Xiulan, Wen
Author_Institution :
Dept. of Instrum. Sci. & Eng., Southeast Univ., Nanjing, China
Volume :
1
fYear :
2003
fDate :
14-17 Dec. 2003
Firstpage :
193
Abstract :
This paper investigated the response of a single bistable neuron to a weak periodic signal by the addition of the variable amount of noise. The results show that the neuron transduces the signal optimally when a certain amount of noise is present, i.e., stochastic resonance (SR). By the signal-to-noise ratio (SNR) measure, the neuron´s applicability and superiority for weak signal detection purposes are illustrated. The research enlarges the application scope of neuron to nonlinear signal processing.
Keywords :
neural nets; noise; resonance; signal detection; stochastic processes; SNR; noise; nonlinear signal processing; signal-to-noise ratio; single bistable neuron; stochastic resonance; weak periodic signal; weak signal detection; Background noise; Instruments; Neural networks; Neurons; Nonlinear equations; Signal detection; Signal processing; Stochastic processes; Stochastic resonance; Strontium;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
0-7803-7702-8
Type :
conf
DOI :
10.1109/ICNNSP.2003.1279244
Filename :
1279244
Link To Document :
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