Response estimation to efficiently capture dynamic response gain changes in multifocal responses

Abstract

Estimating the responses of multiple parts of the visual fields of one or both eyes from records of the responses of one or both pupils to concurrently presented multifocal stimuli to the multiple parts of those visual fields. Collections of multifocal stimuli are controlled by separate pseudo-random sequences, one sequence for each stimulated visual field region. Both temporal impulse responses for each component part of the field and gain-kernels characterizing dynamic changes in the pupil responses driven by short-term fluctuations in overall stimulus density are estimated. Many fewer kernels can be estimated by grouping the stimuli into symbolic stimulus groups and only estimating a gain-kernel for each group. Particular symbolic stimulus groups are shown to be highly efficient. The ability to estimate more reliable responses with relatively few extra gain-kernel coefficients means less data is required to be collected.