Abstract

A growing number of studies in vision research employ analyses of how perturbations in visual stimuli influence behavior on single trials. Recently, we have developed a method along such lines to assess the time course over which object velocity information is extracted on a trial-by-trial basis in order to produce an accurate intercepting saccade to a moving target. Here, we present a simplified version of this methodology, and use it to investigate how changes in stimulus contrast affect the temporal velocity integration window used when generating saccades to moving targets. Observers generated saccades to one of two moving targets which were presented at high (80%) or low (7.5%) contrast. In 50% of trials, target velocity stepped up or down after a variable interval after the saccadic go signal. The extent to which the saccade endpoint can be accounted for as a weighted combination of the pre- or post-step velocities allows for identification of the temporal velocity integration window. Our results show that the temporal integration window takes longer to peak in the low when compared to high contrast condition. By enabling the assessment of how information such as changes in velocity can be used in the programming of a saccadic eye movement on single trials, this study describes and tests a novel methodology with which to look at the internal processing mechanisms that transform sensory visual inputs into oculomotor outputs.

Highlights

  • Saccadic eye movements serve to orient the fovea onto an object or region of interest within the visual environment

  • In order to test and demonstrate our simplified model, we examine the effects of changing stimulus contrast on velocity integration

  • We examine the nature of this velocity integration function in two conditions: high and low-contrast

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Summary

Introduction

Saccadic eye movements serve to orient the fovea onto an object or region of interest within the visual environment. These movements are the result of a decision process that is typically based on the analysis of sensory information, and so offer an ideal route through which to assess how decision-making mechanisms may be implemented by sensorimotor circuits in the brain (Gold and Shadlen, 2001, 2007; Glimcher, 2001; Schall, 2003). A visual stimulus is perturbed in some way or another (e.g., adding random luminance noise over time in Caspi et al, 2004 and Ludwig et al, 2005). Caspi et al (2004) were able to show that the uptake of visual information in a single fixation drove the immediately following eye movement decision, and the one after that. Ludwig et al (2005) showed that decisions were driven by visual information time-locked to display onset, rather than saccade onset

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