Pre-saccadic suppression and compensatory cortical distortions support predictive visual remapping

Perceptual continuity across saccades relies on the predictive remapping of receptive fields (RFs) of visual neurons, driven by corollary discharge (CD). However, how the brain achieves accurate and coherent remapping within its non-uniform visual representation remains unclear. Here, we present a generalized framework of recurrent 2D network in which neurons conjunctively tuned to retinotopic location and planned saccade direction integrate CD signals to predictively remap. We show that pre-saccadic suppression (PS) stabilizes this process by counteracting direction selectivity distortions, while recurrent connectivity preserves cell-cell RF relationship against input noise by constraining the cortical map to a low-dimensional manifold. Analyzing macaque V2 recordings, we validate saccade direction selectivity, the role of PS, and conserved RF relationships. Lastly, we show that while non-uniform representation introduces eccentricity-dependent remapping errors in the model, countervailing distortions systematically reduce them. Our study reveals how network architecture can reconcile the demands of visual acuity and perceptual continuity.

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Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-10-26
DOI
https://doi.org/10.64898/2026.10.20.760565
Primary Topic
Visual perception and processing mechanisms
Type
preprint

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preprint

Pre-saccadic suppression and compensatory cortical distortions support predictive visual remapping

Xize Xu, Sachira Denagamage, Anirvan S. Nandy, Monika P. Jadi
bioRxiv (Cold Spring Harbor Laboratory)
Visual perception and processing mechanisms
preprint

Pre-saccadic suppression and compensatory cortical distortions support predictive visual remapping

Xize Xu, Sachira Denagamage, Anirvan S. Nandy, Monika P. Jadi
preprint en

Abstract

Perceptual continuity across saccades relies on the predictive remapping of receptive fields (RFs) of visual neurons, driven by corollary discharge (CD). However, how the brain achieves accurate and coherent remapping within its non-uniform visual representation remains unclear. Here, we present a generalized framework of recurrent 2D network in which neurons conjunctively tuned to retinotopic location and planned saccade direction integrate CD signals to predictively remap. We show that pre-saccadic suppression (PS) stabilizes this process by counteracting direction selectivity distortions, while recurrent connectivity preserves cell-cell RF relationship against input noise by constraining the cortical map to a low-dimensional manifold. Analyzing macaque V2 recordings, we validate saccade direction selectivity, the role of PS, and conserved RF relationships. Lastly, we show that while non-uniform representation introduces eccentricity-dependent remapping errors in the model, countervailing distortions systematically reduce them. Our study reveals how network architecture can reconcile the demands of visual acuity and perceptual continuity.

bioRxiv (Cold Spring Harbor Laboratory)
Yale University (US), Columbia University (US)
Yale University, National Alliance for Research on Schizophrenia and Depression, National Institutes of Health, National Eye Institute, National Institute of Neurological Disorders and Stroke
Visual perception and processing mechanisms
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Pre-saccadic suppression and compensatory cortical distortions support predictive visual remapping — Xize Xu, Sachira Denagamage, et al. · bioRxiv (Cold Spring Harbor Laboratory) (2026) | TGRS Research Map | TGRS