Title :
Stochastic resonance in an in-silico neural model
Author :
Chiu, Alan W L ; Bardakjian, Berj L.
Author_Institution :
Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada
Abstract :
We show that it is possible for chaotic systems to display the main features of stochastic and coherence resonance. In particular, using the mapped clock oscillators (MCO) which emulate the transmembrane voltage activities in excitable cells, operating in a chaotic regime and in the presence of noise, can exhibit coherence resonance and stochastic resonance. Certain firing frequencies become more regular for some optimal values of noise intensity. The effect of noise in different coupling pathways using the MCO model of neuronal dynamic is investigated. We found that the effect of coherence resonance and stochastic resonance are more prominent if noise is presented in the pathways for field coupling or gap junction coupling. This leads to the speculation that stochastic resonance could enhance the intrinsic 4-8Hz rhythms in CAS neurons.
Keywords :
AWGN; bioelectric potentials; biomembrane transport; neurophysiology; oscillators; physiological models; silicon compounds; stochastic systems; 4 to 8 Hz; chaotic system; coherence resonance; coupled neuron model; field coupling; gap junction coupling; gap junctional coupling; gaussian white noise; hippocampal neuron; in-silico neural model; mapped clock oscillator; stochastic resonance; theta rhythm; transmembrane voltage activity; Chaos; Clocks; Coherence; Content addressable storage; Displays; Resonant frequency; Rhythm; Stochastic resonance; Stochastic systems; Voltage-controlled oscillators;
Conference_Titel :
Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
Print_ISBN :
0-7803-7789-3
DOI :
10.1109/IEMBS.2003.1279802