Biomedical subjects

Guillaume S Masson

Publications and source records attributed to Guillaume S Masson.

9 recordsLinked to original sources

PubMed2006

Predicting 2D target velocity cannot help 2D motion integration for smooth pursuit initiation.

Smooth pursuit eye movements reflect the temporal dynamics of bidimensional (2D) visual motion integration. When tracking a single, tilted line, initial pursuit direction is biased toward unidimensional (1D) edge motion signals, which are orthogonal to the line orientation. Over 200 ms, tracking direction is slowly corrected to finally match the 2D object motion during steady-state pursuit. We now show that repetition of line orientation and/or motion direction does not eliminate the transient tracking direction error nor change the time course of pursuit correction. Nonetheless, multiple successive presentations of a single orientation/direction condition elicit robust anticipatory pursuit eye movements that always go in the 2D object motion direction not the 1D edge motion direction. These results demonstrate that predictive signals about target motion cannot be used for an efficient integration of ambiguous velocity signals at pursuit initiation.

Eye Movements↗

PubMed2006

Behavioral receptive field for ocular following in humans: dynamics of spatial summation and center-surround interactions.

Visual neurons integrate information over a finite part of the visual field with high selectivity. This classical receptive field is modulated by peripheral inputs that play a role in both neuronal response normalization and contextual modulations. However, the consequences of these properties for visuomotor transformations are yet incompletely understood. To explore those, we recorded short-latency ocular following responses in humans to large center-only and center-surround stimuli. We found that eye movements are triggered by a mechanism that integrates motion over a restricted portion of the visual field, the size of which depends on stimulus contrast and increases as a function of time after response onset. We also found evidence for a strong nonisodirectional center-surround organization, responsible for normalizing the central, driving input so that motor responses are set to their most linear contrast dynamics. Such response normalization is delayed about 20 ms relative to tracking onset, gradually builds up over time, and is partly tuned for surround orientation/direction. These results outline the spatiotemporal organization of a behavioral receptive field, which might reflect a linear integration among subpopulations of cortical visual motion detectors.

Adult↗

PubMed2006

Dynamics of attentional deployment during saccadic programming.

The dynamics of attentional deployment before saccade execution was studied with a dual-task paradigm. Observers made a horizontal saccade whose direction was indicated by a symbolic precue and had to discriminate the orientation of a Gabor patch displayed at different delays after the precue (but before saccade onset). The patch location relative to the saccadic target was indicated to observers before each block. Therefore, on each trial, observers were informed simultaneously about the respective absolute locations of the saccadic and perceptual targets. The main result is that orientational acuity improved over a period of 150-200 ms after the precue onset at the saccadic target location, where overall performance is best, and at distant locations. This effect is due to attentional factors rather than to an alerting effect. It is also dependent on the efficiency of the temporal masks displayed before and after the Gabor patches.

Attention↗

PubMed2005

Influence of background illumination on fixation and visually guided saccades in the rhesus monkey.

The influence of background illumination on saccades towards small target LEDs was examined in three rhesus monkeys. In darkness, fixational saccades and those aimed at horizontal targets had a trajectory that was biased upward. This bias was not observed in the illuminated condition. For horizontal saccades, the magnitude of the vertical final errors depended on target eccentricity relative to starting eye position. Downward saccades undershot the location where eye position landed in the illuminated condition whereas upward saccades overshot less eccentric targets. Background illumination also influenced the latency of saccades. The change in accuracy that affects large saccades is interpreted as resulting from a change in the encoding of the desired displacement signal that feeds the local feedback loop controlling saccade trajectory.

Animals↗

PubMed2005

Object motion computation for the initiation of smooth pursuit eye movements in humans.

Pursuing an object with smooth eye movements requires an accurate estimate of its two-dimensional (2D) trajectory. This 2D motion computation requires that different local motion measurements are extracted and combined to recover the global object-motion direction and speed. Several combination rules have been proposed such as vector averaging (VA), intersection of constraints (IOC), or 2D feature tracking (2DFT). To examine this computation, we investigated the time course of smooth pursuit eye movements driven by simple objects of different shapes. For type II diamond (where the direction of true object motion is dramatically different from the vector average of the 1-dimensional edge motions, i.e., VA not equal IOC = 2DFT), the ocular tracking is initiated in the vector average direction. Over a period of less than 300 ms, the eye-tracking direction converges on the true object motion. The reduction of the tracking error starts before the closing of the oculomotor loop. For type I diamonds (where the direction of true object motion is identical to the vector average direction, i.e., VA = IOC = 2DFT), there is no such bias. We quantified this effect by calculating the direction error between responses to types I and II and measuring its maximum value and time constant. At low contrast and high speeds, the initial bias in tracking direction is larger and takes longer to converge onto the actual object-motion direction. This effect is attenuated with the introduction of more 2D information to the extent that it was totally obliterated with a texture-filled type II diamond. These results suggest a flexible 2D computation for motion integration, which combines all available one-dimensional (edge) and 2D (feature) motion information to refine the estimate of object-motion direction over time.

Analysis of Variance↗

PubMed2002

Motion perception of saccade-induced retinal translation.

Active visual perception relies on the ability to interpret correctly retinal motion signals induced either by moving objects viewed with static eyes or by stationary objects viewed with moving eyes. A motionless environment is not normally perceived as moving during saccadic eye movements. It is commonly believed that this phenomenon involves central oculomotor signals that inhibit intrasaccadic visual motion processing. The keystone of this extraretinal theory relies on experimental reports showing that physically stationary scenes displayed only during saccades, thus producing high retinal velocities, are never perceived as moving but appear as static blurred images. We, however, provide evidence that stimuli optimized for high-speed motion detection elicit clear motion perception against saccade direction, thus making the search for extraretinal suppression superfluous. The data indicate that visual motion is the main cue used by observers to perform the task independently of other perceptual factors covarying with intrasaccadic stimulation. By using stimuli of different durations, we show that the probability of perceiving the stimulus as static, rather than moving, increases when the intrasaccadic stimulation is preceded or followed by a significant extrasaccadic stimulation. We suggest that intrasaccadic motion perception is accomplished by motion-selective magnocellular neurons through temporal integration of rapidly increasing retinal velocities. The functional mechanism that usually prevents this intrasaccadic activity from being perceived seems to rely on temporal masking effects induced by the static retinal images present before and/or after the saccade.

Humans↗

PubMed2002

Parallel motion processing for the initiation of short-latency ocular following in humans.

With the scleral search coil technique, we recorded ocular following responses elicited by either grating or plaid pattern motions. Grating motion elicited tracking responses at short latencies ( approximately 85 msec). Type I plaid motion made by summing two orthogonal moving gratings elicited ocular following with identical short latencies. Trial-by-trial vector decomposition showed that plaid-driven responses were best predicted by a vector average of the component-driven responses. Similar results were found with micropatterns made of 16 Gabor patches with drifting carriers of two different orientations. "Unikinetic" plaids were constructed by summing a moving and stationary grating, with a 45 degrees orientation difference, so that component and pattern motion directions were separated by 45 degrees. Eye movements exhibited two components. Ocular following was first initiated in the grating motion direction, at ultra-short latency. A second component was initiated approximately 20 msec later, curving the responses toward the pattern motion direction. The later component was specifically, and independently, affected by both relative spatial frequency and contrast between component gratings. The early response components showed a much steeper contrast response function than the late component. These results suggest that initial ocular following is underpinned by parallel processing of component- and pattern-related velocities followed by an integrative stage that computes the two-dimensional surface motion.

Eye Movements↗

PubMed2002

From following edges to pursuing objects.

Primates can generate accurate, smooth eye-movement responses to moving target objects of arbitrary shape and size, even in the presence of complex backgrounds and/or the extraneous motion of non-target objects. Most previous studies of pursuit have simply used a spot moving over a featureless background as the target and have thus neglected critical issues associated with the general problem of recovering object motion. Visual psychophysicists and theoreticians have shown that, for arbitrary objects with multiple features at multiple orientations, object-motion estimation for perception is a complex, multi-staged, time-consuming process. To examine the temporal evolution of the motion signal driving pursuit, we recorded the tracking eye movements of human observers to moving line-figure diamonds. We found that pursuit is initially biased in the direction of the vector average of the motions of the diamond's line segments and gradually converges to the true object-motion direction with a time constant of approximately 90 ms. Furthermore, transient blanking of the target during steady-state pursuit induces a decrease in tracking speed, which, unlike pursuit initiation, is subsequently corrected without an initial direction bias. These results are inconsistent with current models in which pursuit is driven by retinal-slip error correction. They demonstrate that pursuit models must be revised to include a more complete visual afferent pathway, which computes, and to some extent latches on to, an accurate estimate of object direction over the first hundred milliseconds or so of motion.

Eye Movements↗

PubMedDate not supplied

From 1D to 2D via 3D: dynamics of surface motion segmentation for ocular tracking in primates.

In primates, tracking eye movements help vision by stabilising onto the retinas the images of a moving object of interest. This sensorimotor transformation involves several stages of motion processing, from the local measurement of one-dimensional luminance changes up to the integration of first and higher-order local motion cues into a global two-dimensional motion immune to antagonistic motions arising from the surrounding. The dynamics of this surface motion segmentation is reflected into the various components of the tracking responses and its underlying neural mechanisms can be correlated with behaviour at both single-cell and population levels. I review a series of behavioural studies which demonstrate that the neural representation driving eye movements evolves over time from a fast vector average of the outputs of linear and non-linear spatio-temporal filtering to a progressive and slower accurate solution for global motion. Because of the sensitivity of earliest ocular following to binocular disparity, antagonistic visual motion from surfaces located at different depths are filtered out. Thus, global motion integration is restricted within the depth plane of the object to be tracked. Similar dynamics were found at the level of monkey extra-striate areas MT and MST and I suggest that several parallel pathways along the motion stream are involved albeit with different latencies to build-up this accurate surface motion representation. After 200-300 ms, most of the computational problems of early motion processing (aperture problem, motion integration, motion segmentation) are solved and the eye velocity matches the global object velocity to maintain a clear and steady retinal image.

Animals↗