Abstract
This chapter deals with mathematical models for smooth-pursuit eye movements, starting with simple negative-feedback schemes. After pointing out their deficiencies, Robinson developed models that account for specific dynamic properties of pursuit behavior, such as the transient ocular oscillations that may occur at onset, and the adaptive properties of pursuit. The challenges posed by the inherent latency of visual responses to target motion-specifically the instability of a negative feedback model-are resolved by including an efference copy internal positive feedback loop, and distributing system delays throughout the model's pathways. A model for smooth combined eye-head tracking is presented in which the brain sends an efference copy of the planned head movement to null out the vestibular signal expected.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
