Spatial updating Chat avenus adult

The conditions of pathway exposure included physical walking, imagined walking from a verbal description, watching another person walk, and experiencing optic flow that simulated…While we are scanning our environment, the retinal image changes with every saccade.Nevertheless, the visual system anticipates where an attended target will be next and attention is updated to the new location.Recently, two different types of perisaccadic attentional updates were discovered: predictive remapping of attention before saccade onset (Rolfs, Jonikaitis, Deubel, & Cavanagh, 2011) and lingering of attention after saccade (Golomb, Chun, & Mazer, 2008; Golomb, Pulido, Albrecht, Chun, & Mazer, 2010).In one type, spatial attention lingers after a saccade at the (irrelevant) retinotopic position—that is, the focus of attention appears to shift with the eyes but updates to its original world-centered position only after the eyes land at the saccade target location (Golomb, Chun, & Mazer, 2008; Golomb, Pulido, Albrecht, Chun, & Mazer 2010).Another study by Rolfs, Jonikaitis, Deubel, & Cavanagh (2011) shows that shortly before saccade onset, a locus of attention appears at a position opposite to the direction of the saccade, which suggests an anticipatory correction of the effects of eye movements.This two-dimensional model uses the same input signals, interactions, and concepts as the one-dimensional model proposed by Ziesche and Hamker.

In the seminal study of Duhamel, Colby, and Goldberg (1992), a flashed stimulus in the future receptive field—that is, the location of a neuron's receptive field after saccade—evoked a neural response prior to saccade.We here explore by means of the neuro-computational model the relationship between predictive remapping of receptive fields (Duhamel et al., 1992) and predictive remapping of attention.How do these phenomena occur at the neural-systems level? If yes, why does the attention pointer update opposite to saccade direction, while the receptive fields update with the saccade vector?Ziesche and Hamker (2011, 2014) made three assumptions when designing the neuro-computational model: First, existing perisaccadic effects may be explainable on basis of two eye-related signals that have been shown to exist in the brain, a (proprioceptive) eye-position signal and a corollary discharge.Second, gain fields are assumed to be Gaussian shaped, although measurements of gain fields show more variability.

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