NDLI: Globus pallidus neuron spike time series prediction based on local-region multi-step forecasting model

Content Provider	IEEE Xplore Digital Library
Author	Yan He Jue Wang Qingfeng Wang Guangjun Zhang Julei Wang Weixin Li Mingming Zhang Guodong Gao
Copyright Year	2008
Description	Author affiliation: Key Lab. of Biomed. Inf. Eng., Xian Jiaotong Univ., Xian, China (Yan He; Jue Wang; Qingfeng Wang; Guangjun Zhang; Mingming Zhang) \|\| Dept. of Neurosurg., Tangdu Hosp., Xian, China (Julei Wang; Weixin Li; Guodong Gao)
Abstract	Add-weighted one-rank local-region multi-steps forecasting model (AOLMM) is adopted to predict the neuron spikes of MPTP monkey model of Parkinson¿s disease (PD).The AOLMM based on Takens embedding theory has been proved as effectively predict many chaotic systems and overcome some shortcomings like Large computational quantity and cumulative error of other chaotic prediction methods. Many previous studies have demonstrated the existence of certain neurons in the thalamus of PD patients especially in the Globus Pallidus(GP) is closely related with the pathogenesis of tremor. We observed that with appropriate embedding dimension and the proper maximum forecasting step, the AOLMM can well foretell the dynamical trend of the GP neuron spikes of the MPTP induced monkey model of PD. It indicates that AOLMM is powerful to help us understand the pathological mechanism of PD better and clear.
Starting Page	224
Ending Page	229
File Size	428785
Page Count	6
File Format	PDF
ISBN	9781424421961
DOI	10.1109/ISKE.2008.4730931
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-11-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Chaos Knowledge engineering Pathology Neurons Prediction methods Predictive models Biology computing Brain modeling Computer networks Intelligent systems
Content Type	Text
Resource Type	Article

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