Feedback of peripheral saccade targets to early foveal cortex.

Luca Kämmer, Lisa M Kroell, Tomas Knapen, Martin Rolfs, Martin N Hebart

Journal: eLife 2026;14():

PMID: 41569257

Abstract

Human vision is characterized by frequent eye movements and constant shifts in visual input, yet our perception of the world remains remarkably stable. Here, we directly demonstrate image-specific foveal feedback to primary visual cortex in the context of saccadic eye movements. To this end, we used a gaze-contingent fMRI paradigm, in which peripheral saccade targets disappeared before they could be fixated. Despite no direct foveal stimulation, we were able to decode peripheral saccade targets from foveal retinotopic areas, demonstrating that image-specific feedback during saccade preparation may underlie this effect. Decoding was sensitive to shape but not semantic category of natural images, indicating feedback of only low-to-mid-level information. Cross-decoding to a control condition with foveal stimulus presentation indicates a shared representational format between foveal feedback and direct stimulation. Moreover, eccentricity-dependent analyses showed a U-shaped decoding curve, confirming that these results are not explained by spillover of peripheral activity or large receptive fields. Finally, fluctuations in foveal decodability covaried with activity in the intraparietal sulcus, thus providing a candidate region for driving foveal feedback. These findings suggest that foveal cortex predicts the features of incoming stimuli through feedback from higher cortical areas, which offers a candidate mechanism underlying stable perception.

© 2025, Kämmer et al.

Address: Vision and Computational Cognition Group, Max Planck Institute of Human Cognitive and Brain Sciences, Leipzig, Germany.; Department of Psychology, Humboldt University Berlin, Berlin, Germany.; Department of Medicine, Justus Liebig University Giessen, Giessen, Germany.; Department of Psychology, Humboldt University Berlin, Berlin, Germany.; Spinoza Center for Neuroimaging, KNAW Netherlands, Amsterdam, Netherlands.; Computational Cognitive Neuroscience and Neuroimaging, Netherlands Institute for Neuroscience, Amsterdam, Netherlands.; Experimental and Applied Psychology, Vrije University Amsterdam, Amsterdam, Netherlands.; Department of Psychology, Humboldt University Berlin, Berlin, Germany.; Berlin School of Mind and Brain, Humboldt University Berlin, Berlin, Germany.; Exzellenzcluster Science of Intelligence, Technical University Berlin, Berlin, Germany.; Bernstein Center for Computational Neuroscience Berlin, Berlin, Germany.; Vision and Computational Cognition Group, Max Planck Institute of Human Cognitive and Brain Sciences, Leipzig, Germany.; Department of Medicine, Justus Liebig University Giessen, Giessen, Germany.; Center for Mind, Brain and Behavior, Universities of Marburg, Giessen, and Darmstadt, Germany, Marburg, Germany.
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