Pupil Tracking and Spiking Neural Network Modeling of Horizontal Nystagmus

Abstract

Nystagmus intensity changes with gaze direction, convergence, attention, and fatigue [2], so quantitative measurement is important for characterizing the condition and evaluating interventions. Video-oculography gives objective measures of waveform, amplitude, and frequency that supplement clinical examination [5], [7], and computational models can then test how alternating activity in ocular-motor pathways may generate the oscillations [3]. This study used video-based pupil tracking across several viewing and physiological conditions, together with a two-population neural model, to examine a possible mechanism for the observed rhythms...