Testing a Simplified Method for Measuring Velocity Integration in Saccades Using a Manipulation of Target Contrast

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.

[1]  John H. R. Maunsell,et al.  Visual response latencies of magnocellular and parvocellular LGN neurons in macaque monkeys , 1999, Visual Neuroscience.

[2]  Susan A. Murphy,et al.  Monographs on statistics and applied probability , 1990 .

[3]  John A. Nelder,et al.  A Simplex Method for Function Minimization , 1965, Comput. J..

[4]  W. Newsome,et al.  Deficits in visual motion processing following ibotenic acid lesions of the middle temporal visual area of the macaque monkey , 1985, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[5]  Miguel P Eckstein,et al.  The time course of visual information accrual guiding eye movement decisions. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[6]  Jean-Jacques Orban de Xivry,et al.  Saccades and pursuit: two outcomes of a single sensorimotor process , 2007, The Journal of physiology.

[7]  Richard J Krauzlis,et al.  Shared decision signal explains performance and timing of pursuit and saccadic eye movements. , 2005, Journal of vision.

[8]  J. Schall Neural correlates of decision processes: neural and mental chronometry , 2003, Current Opinion in Neurobiology.

[9]  Iain D Gilchrist,et al.  The target velocity integration function for saccades. , 2010, Journal of vision.

[10]  D H Brainard,et al.  The Psychophysics Toolbox. , 1997, Spatial vision.

[11]  R. Shapley,et al.  The effect of contrast on the transfer properties of cat retinal ganglion cells. , 1978, The Journal of physiology.

[12]  M. Missal,et al.  Quantitative analysis of catch-up saccades during sustained pursuit. , 2002, Journal of neurophysiology.

[13]  K. Gegenfurtner,et al.  Neuronal Processing Delays Are Compensated in the Sensorimotor Branch of the Visual System , 2003, Current Biology.

[14]  Bart Krekelberg,et al.  Speed perception during acceleration and deceleration. , 2008, Journal of vision.

[15]  Bevil R. Conway,et al.  Contrast affects speed tuning, space-time slant, and receptive-field organization of simple cells in macaque V1. , 2007, Journal of neurophysiology.

[16]  M. Kuba,et al.  Visual evoked potentials specific for motion onset , 2004, Documenta Ophthalmologica.

[17]  T. Albright,et al.  Recent History of Stimulus Speeds Affects the Speed Tuning of Neurons in Area MT , 2007, The Journal of Neuroscience.

[18]  R. Shapley,et al.  X and Y cells in the lateral geniculate nucleus of macaque monkeys. , 1982, The Journal of physiology.

[19]  I. J Murray,et al.  Neurophysiological interpretation of human visual reaction times: effect of contrast, spatial frequency and luminance , 2000, Neuropsychologia.

[20]  Christopher C. Pack,et al.  Contrast dependence of suppressive influences in cortical area MT of alert macaque. , 2005, Journal of neurophysiology.

[21]  J. Lynch,et al.  Corticocortical input to the smooth and saccadic eye movement subregions of the frontal eye field in Cebus monkeys. , 1996, Journal of neurophysiology.

[22]  Colin Blakemore,et al.  Contrast dependence of motion-onset and pattern-reversal evoked potentials , 1995, Vision Research.

[23]  J. Gold,et al.  Neural computations that underlie decisions about sensory stimuli , 2001, Trends in Cognitive Sciences.

[24]  M J Taylor,et al.  A noisy transform predicts saccadic and manual reaction times to changes in contrast , 2006, The Journal of physiology.

[25]  Leslie G. Ungerleider,et al.  Subcortical projections of area MT in the macaque , 1984, The Journal of comparative neurology.

[26]  G. Marsaglia Ratios of Normal Variables , 2006 .

[27]  Miguel P Eckstein,et al.  Similar Neural Representations of the Target for Saccades and Perception during Search , 2007, The Journal of Neuroscience.

[28]  R. Mansfield,et al.  Latency functions in human vision. , 1973, Vision research.

[29]  Eugene McSorley,et al.  The influence of spatial frequency and contrast on saccade latencies , 2004, Vision Research.

[30]  Iain D Gilchrist,et al.  A population coding account for systematic variation in saccadic dead time. , 2007, Journal of neurophysiology.

[31]  Philippe Lefèvre,et al.  Target acceleration can be extracted and represented within the predictive drive to ocular pursuit. , 2007, Journal of neurophysiology.

[32]  Michael Bach,et al.  Contrast dependency of motion-onset and pattern-reversal VEPs: Interaction of stimulus type, recording site and response component , 1997, Vision Research.

[33]  Karl R Gegenfurtner,et al.  Effects of contrast on smooth pursuit eye movements. , 2005, Journal of vision.

[34]  R. Gellman,et al.  Motion processing for saccadic eye movements in humans , 2004, Experimental Brain Research.

[35]  Bart Krekelberg,et al.  Interactions between Speed and Contrast Tuning in the Middle Temporal Area: Implications for the Neural Code for Speed , 2006, The Journal of Neuroscience.

[36]  Frans W Cornelissen,et al.  The Eyelink Toolbox: Eye tracking with MATLAB and the Psychophysics Toolbox , 2002, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

[37]  Raymond S. Nickerson,et al.  Response times with nonaging foreperiods , 1969 .

[38]  Casimir J. H. Ludwig,et al.  The Temporal Impulse Response Underlying Saccadic Decisions , 2005, The Journal of Neuroscience.

[39]  Laurence R. Harris,et al.  Small Saccades to Double-Stepped Targets Moving in Two Dimensions , 1984 .

[40]  R H S Carpenter,et al.  The time course of stimulus expectation in a saccadic decision task. , 2007, Journal of neurophysiology.

[41]  Casimir J. H. Ludwig,et al.  Temporal integration of sensory evidence for saccade target selection , 2009, Vision Research.

[42]  Bruno G. Breitmeyer,et al.  Simple reaction time as a measure of the temporal response properties of transient and sustained channels , 1975, Vision Research.

[43]  G. Orban,et al.  Response latency of macaque area MT/V5 neurons and its relationship to stimulus parameters. , 1999, Journal of neurophysiology.

[44]  Elena Piedrahita,et al.  Ocular dominance diagnosis and its influence in monovision. , 2007, American journal of ophthalmology.

[45]  Robin Walker,et al.  Control of voluntary and reflexive saccades , 2000, Experimental Brain Research.

[46]  E. Wagenmakers A practical solution to the pervasive problems ofp values , 2007, Psychonomic bulletin & review.

[47]  Dirk Kerzel,et al.  The spatio-temporal tuning of the mechanisms in the control of saccadic eye movements , 2006, Vision Research.

[48]  K. Jellinger The Neurology of Eye Movements 4th edn. , 2009 .

[49]  Richard J. Krauzlis,et al.  Saccade selection when reward probability is dynamically manipulated using Markov chains , 2008, Experimental Brain Research.

[50]  Edward H. Adelson,et al.  Motion illusions as optimal percepts , 2002, Nature Neuroscience.

[51]  M. Kenward,et al.  An Introduction to the Bootstrap , 2007 .

[52]  R. Aslin,et al.  The amplitude and angle of saccades to double-step target displacements , 1987, Vision Research.

[53]  Dennis M. Levi,et al.  Reaction time as a measure of suprathreshold grating detection , 1978, Vision Research.

[54]  Philip L. Smith Psychophysically principled models of visual simple reaction time. , 1995 .

[55]  William Curran,et al.  The dependence of perceived speed upon signal intensity , 2009, Vision Research.

[56]  David R. Anderson,et al.  Model Selection and Inference: A Practical Information-Theoretic Approach , 2001 .

[57]  Miguel P Eckstein,et al.  Saccadic and perceptual performance in visual search tasks. I. Contrast detection and discrimination. , 2003, Journal of the Optical Society of America. A, Optics, image science, and vision.

[58]  D. Ringach,et al.  Dynamics of smooth pursuit maintenance. , 2009, Journal of neurophysiology.

[59]  R. Carpenter,et al.  Contrast, Probability, and Saccadic Latency Evidence for Independence of Detection and Decision , 2004, Current Biology.

[60]  J. Gold,et al.  The neural basis of decision making. , 2007, Annual review of neuroscience.

[61]  W. Becker,et al.  An analysis of the saccadic system by means of double step stimuli , 1979, Vision Research.

[62]  P. Glimcher Making choices: the neurophysiology of visual-saccadic decision making , 2001, Trends in Neurosciences.

[63]  C. Enroth-Cugell,et al.  The contrast sensitivity of retinal ganglion cells of the cat , 1966, The Journal of physiology.

[64]  I. Murray,et al.  Contrast coding and magno/parvo segregation revealed in reaction time studies , 2003, Vision Research.