A Computational Model for the Influence of Corollary Discharge and Proprioception on the Perisaccadic Mislocalization of Briefly Presented Stimuli in Complete Darkness

Abstract

Spatial perception, the localization of stimuli in space, can rely on visual reference stimuli or on egocentric factors such as a stimulus position relative to eye gaze. In total darkness, only an egocentric reference frame provides sufficient information. When stimuli are briefly flashed around saccades, the localization error reveals potential mechanisms of updating such reference frames as described in several theories and computational models. Recent novel experimental evidence, however, showed that the maximum amount of mislocalization does not scale linearly with saccade amplitude but rather stays below 13°even for long saccades, which is different from predicted by present models. We proposeanewmodelofperisaccadicmislocalizationincompletedarknesstoaccountforthisobservation.Accordingtothismodel,mislocalizationarises not on the motor side by comparing a retinal position signal with an extraretinal eye position related signal but by updating stimulus position in visual areas through a combination of proprioceptive eye position and corollary discharge. Simulations with realistic input signals and temporal dynamics show that both signals together are used for spatial updating and in turn bring about perisaccadic mislocalization.

Brain circuits underlying visual stability across eye movements—converging evidence for a neuro-computational model of area LIP

“…The model and its parameters are identical to those reported by Ziesche and Hamker (2011). The difference to the previous study refers only to the different decision process as obtained by the readout of the neural activity described later in Materials and Methods.…”

Eye position signals in the dorsal pulvinar during fixation and goal-directed saccades

“…Given the extensive connectivity of the dorsal pulvinar to parietal and premotor cortex, and the resemblance of eye position-dependent effects in those areas and in dPul, one likely possibility is that the eye position effects in dPul are inherited from those visuomotor areas (Yeterian and Pandya, 1989;Schmahmann and Pandya, 1990;Romanski et al, 1997;Cappe et al, 2007Cappe et al, , 2009). The source of continuous eye position signal in the cortex is still not fully identified (Ziesche and Hamker, 2011;Xu et al, 2012). One possibility is the corollary discharge of the motor command that maintains steady eye position (Morris et al, 2012;Xu et al, 2012), counteracting the elastic elements of the orbital tissues (Sylvestre and Cullen, 1999).…”

Spatial updating of attention across eye movements: A neuro-computational approach

“…Recently, Ziesche and Hamker (2011) proposed a model of perisaccadic perception to describe the underlying mechanisms of perceiving a stable world during eye movements. It uses gain fields and radial basis functions to perform coordinate transformations between different frames of references, more precisely between eye-and head-centered reference frames, which may possibly take place in the parietal cortex, specifically the lateral intraparietal cortex (LIP).…”

“…The model accounts for predictive remapping using two eye position related signals, a discrete eye position signal and a corollary discharge signal, to compute the perceived position of stimuli across saccades. Ziesche and colleagues demonstrated the model is in addition able to explain the perisaccadic mislocalization of briefly flashed stimuli in complete darkness (Ziesche & Hamker, 2011) and the observation of saccadic suppression of displacement (SSD) (Ziesche & Hamker, 2014;Ziesche, Bergelt, Deubel, & Hamker, 2017).…”

“…Recently, two different types of perisaccadic attentional updates were discovered: Predictive remapping of attention before saccade onset (Rolfs, Jonikaitis, Deubel, & Cavanagh, 2011) as well as lingering of attention after saccade (Golomb, Chun, & Mazer, 2008;Golomb, Pulido, Albrecht, Chun, & Mazer, 2010). We here propose a neurocomputational model located in LIP based on a previous model of perisaccadic space perception (Ziesche & Hamker, 2011. Our model can account for both types of updating of attention at a neural systems level.…”