Title :
A Non-Linear Model of the Neural Integrator in Oculomotor Control
Author :
Chan, W.W.P. ; Galiana, H.L.
Author_Institution :
McGill Univ., Montreal
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
Print_ISBN :
978-1-4244-0787-3
DOI :
10.1109/IEMBS.2007.4352501
