Title :
Nonstationary stochastic resonance in a reduced-order Hodgkin-Huxley neuron
Author :
Ward, T. ; De Paor, A.
Author_Institution :
Dept. of Electron. & Electr. Eng., Nat. Univ. of Ireland, Dublin, Ireland
Abstract :
A physiologically realistic neural system model is shown to be able to detect a weak nonstationary signal through the addition of noise. It is shown that the signal transduction performance is optimised for a nonzero value of noise intensity in a manner suggestive of stochastic resonance
Keywords :
neural nets; nonlinear systems; physiological models; stochastic systems; noise intensity; nonstationary stochastic resonance; nonzero value; physiologically realistic neural system model; reduced-order Hodgkin-Huxley neuron; signal transduction performance optimisation; stochastic resonance; weak nonstationary signal detection; Gaussian noise; Ice; Neurons; Noise generators; Noise measurement; Noise reduction; Nonlinear dynamical systems; SQUIDs; Stochastic resonance; Strontium;
Conference_Titel :
[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-5674-8
DOI :
10.1109/IEMBS.1999.802475
