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Updated: Jan 22, 2026

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
Published on: January 18, 2020
Spatial updating of attention across eye movements: A neuro-computational approach
Julia Bergelt1, Fred H Hamker1
1Artificial Intelligence, Department of Computer Science, Chemnitz University of Technology, Chemnitz, Germany.
Abstract:
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). We here propose a neuro-computational model located in lateral intraparietal cortex based on a previous model of perisaccadic space perception (Ziesche & Hamker, 2011, 2014). Our model can account for both types of updating of attention at a neural-systems level. The lingering effect originates from the late updating of the proprioceptive eye-position signal and the remapping from the early corollary-discharge signal. We put these results in relationship to predictive remapping of receptive fields and show that both phenomena arise from the same simple, recurrent neural circuit. Thus, together with the previously published results, the model provides a comprehensive framework for discussing multiple experimental observations that occur around saccades.
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