DocumentCode :
1137575
Title :
Mapped Clock Oscillators as Ring Devices and Their Application to Neuronal Electrical Rhythms
Author :
Zalay, Osbert C. ; Bardakjian, Berj L.
Author_Institution :
Inst. of Biomater. & Biomed. Eng., Toronto Univ., Toronto, ON
Volume :
16
Issue :
3
fYear :
2008
fDate :
6/1/2008 12:00:00 AM
Firstpage :
233
Lastpage :
244
Abstract :
The mapped clock oscillator (MCO) is a second-order, Winfree-type oscillator generating two instantaneous clock variables (amplitude and phase) that are mapped to an observable output variable (voltage) via a static nonlinearity. Two fundamental classes of ring devices are presented. Their respective dynamics give rise to two oscillator forms-the labile clock and the clock-which can be coupled together in various configurations to create higher-order systems with sufficient complexity to capture the dynamics of neuronal assemblies. To demonstrate the applicability of MCOs in modelling neuronal rhythms, a hippocampal network model of four coupled oscillators was constructed and shown to exhibit rhythmic activity of varying complexity, depending on model parameters. The dynamics of the network were quantified through estimation of the maximum lyapunov exponent and the correlation dimension. Synthesis of complex neuronal rhythms may have therapeutic implications. The modular and efficient design of the MCO should facilitate the process of implementing coupled MCO networks in electronic hardware as potential neural prostheses for treating dynamic diseases such as epilepsy.
Keywords :
Lyapunov methods; biomedical equipment; diseases; electroencephalography; neurophysiology; oscillators; prosthetics; correlation dimension; coupled oscillators; electroencephalogram; epilepsy; hippocampal network model; mapped clock oscillator; maximum Lyapunov exponent; neural prostheses; neuronal assemblies; neuronal electrical rhythms application; nonlinear dynamics; ring devices; second-order Winfree-type oscillator; Complexity; EEG; Neuronal rhythms; complexity; coupled oscillators; electroencephalogram (EEG); neuronal assemblies; neuronal rhythms; nonlinear dynamics; Action Potentials; Animals; Biological Clocks; Computer Simulation; Feedback; Hippocampus; Humans; Models, Neurological; Nerve Net; Neurons; Nonlinear Dynamics; Synaptic Transmission;
fLanguage :
English
Journal_Title :
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1534-4320
Type :
jour
DOI :
10.1109/TNSRE.2008.923708
Filename :
4493485
Link To Document :
بازگشت