Visuomotor fields of the superior colliculus: A quantitative model

Ottes, Fenno P.; Gisbergen, J.A.M. van; Eggermont, Jos J.

doi:10.1016/0042-6989(86)90144-6

Cited by 227 publications

(330 citation statements)

References 28 publications

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“…Visual, DLPFC, and FEF inputs to SC show a coarse topology, in that cortical cells tend to project to many neighboring neurons in SC (Funahashi et al 1990;Komatsu and Suzuki 1985;Lock et al 2003;Sommer and Wurtz 2001). This implies that collicular neurons have relatively broad visual fields, which is indeed the case (Dorris et al 2007;Ottes et al 1986;Schiller et al 1980). The spatial shape of the inputs to SC was a Gaussian around an SC location receiving maximum input l max .…”

Section: Topology Of Inputsmentioning

confidence: 99%

A competitive integration model of exogenous and endogenous eye movements

2010

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We present a model of the eye movement system in which the programming of an eye movement is the result of the competitive integration of information in the superior colliculi (SC). This brain area receives input from occipital cortex, the frontal eye fields, and the dorsolateral prefrontal cortex, on the basis of which it computes the location of the next saccadic target. Two critical assumptions in the model are that cortical inputs are not only excitatory, but can also inhibit saccades to specific locations, and that the SC continue to influence the trajectory of a saccade while it is being executed. With these assumptions, we account for many neurophysiological and behavioral findings from eye movement research. Interactions within the saccade map are shown to account for effects of distractors on saccadic reaction time (SRT) and saccade trajectory, including the global effect and oculomotor capture. In addition, the model accounts for express saccades, the gap effect, saccadic reaction times for antisaccades, and recorded responses from neurons in the SC and frontal eye fields in these tasks.

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Section: Topology Of Inputsmentioning

confidence: 99%

A competitive integration model of exogenous and endogenous eye movements

2010

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“…The SC contains a logarithmic map of visual space (Ottes et al, 1986;Marino et al, 2008), with the superficial layers devoted primarily to the representation of visual targets, whereas the deeper layers contain individual neurons that encode visual targets, saccade vectors, or both. However, the timing of responses in the SC appears to be inconsistent with the various phenomena on perceptual mislocalization.…”

Section: Neurophysiological Implicationsmentioning

confidence: 99%

“…Relative to the retinal periphery, the fovea contains an extremely high density of cones (Curcio and Allen, 1990), and this asymmetry is maintained and amplified in retinotopic maps found throughout the brain (Talbot and Marshall, 1941;Daniel and Whitteridge, 1961;Hubel and Wiesel, 1974;Tootell et al, 1982;Ottes et al, 1986). In such maps, the foveal region is vastly overrepresented, leading to a distorted representation of visual space.…”

Section: Introductionmentioning

confidence: 99%

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The Geometry of Perisaccadic Visual Perception

Richard¹,

Churan²,

Guitton³

et al. 2009

J. Neurosci.

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Our ability to explore our surroundings requires a combination of high-resolution vision and frequent rotations of the visual axis toward objects of interest. Such gaze shifts are themselves a source of powerful retinal stimulation, and so the visual system appears to have evolved mechanisms to maintain perceptual stability during movements of the eyes in space. The mechanisms underlying this perceptual stability can be probed in the laboratory by briefly presenting a stimulus around the time of a saccadic eye movement and asking subjects to report its position. Under such conditions, there is a systematic misperception of the probes toward the saccade end point. This perisaccadic compression of visual space has been the subject of much research, but few studies have attempted to relate it to specific brain mechanisms. Here, we show that the magnitude of perceptual compression for a wide variety of probe stimuli and saccade amplitudes is quantitatively predicted by a simple heuristic model based on the geometry of retinotopic representations in the primate brain. Specifically, we propose that perisaccadic compression is determined by the distance between the probe and saccade end point on a map that has a logarithmic representation of visual space, similar to those found in numerous cortical and subcortical visual structures. Under this assumption, the psychophysical data on perisaccadic compression can be appreciated intuitively by imagining that, around the time of a saccade, the brain confounds nearby oculomotor and sensory signals while attempting to localize the position of objects in visual space.

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“…Indeed its deeper layers contain a retinotopically organized motor map in which each site is thought to encode a specific gaze saccade vector. The way in which the mapping of the visual field occurs onto the SC was experimentally measured in primates by Robinson (Robinson, 1972) and subsequently mathematically modeled by Ottes and colleagues (Ottes et al, 1986). The equations introduced in (Ottes et al, 1986) for mapping the retinotopic coordinates ( θ…”

Section: 3the Collicular Mapping Of the Visual Fieldmentioning

confidence: 99%