A Non-Linear Model of the Neural Integrator in Oculomotor Control

Author

Chan, W.W.P. ; Galiana, H.L.

Author_Institution

McGill Univ., Montreal

fYear

2007

fDate

22-26 Aug. 2007

Firstpage

1156

Lastpage

1159

Abstract

Neural integrator (NI) is presumed to exist in the oculomotor system to assist in numerous tasks such as maintaining gaze on imaginary targets in the dark. It has been widely accepted that the NI acts as a ´perfect´ integrator even in the dark with time constants as large as 50 s. However, the NI time constant has been found to be much less than ideal and its value can also be dependent on context . In this paper, a nonlinear feedback model is postulated to model the context-dependent properties of NI and its performance is compared to a linear feedback model.

Keywords

eye; feedback; physiological models; neural integrator; nonlinear feedback model; oculomotor control; Biomedical engineering; Biomedical measurements; Brain modeling; Context modeling; Head; Irrigation; Neurofeedback; Position measurement; Signal processing; Velocity measurement; Neural Integrator (NI); Nonlinear Modeling; Optimization; Vestibulo-Ocular Reflex (VOR); Computer Simulation; Eye Movements; Feedback; Fixation, Ocular; Head Movements; Humans; Models, Neurological; Motion Perception; Nerve Net; Nonlinear Dynamics; Oculomotor Muscles; Orientation; Reflex, Vestibulo-Ocular;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE

Conference_Location

Lyon

ISSN

1557-170X

Print_ISBN

978-1-4244-0787-3

Type

conf

DOI

10.1109/IEMBS.2007.4352501

Filename

4352501