Differential destinations, dynamics, and functions of high- and low-order features in the feedback signal during object processing

Brain is a hierarchical information processing system, in which the feedback signals from high-level to low-level regions are critical. The feedback signals may convey complex high-order features (e.g. category, identity) and simple low-order features (e.g. orientation, spatial frequency) to sensory cortex to interact with the feedforward information, but how these types of feedback information are represented and how they differ in facilitating visual processing remains unclear. The current study used the peripheral object discrimination task, 7T fMRI, and MEG to isolate feedback from feedforward signals in human early visual cortex. The results showed that feedback signals conveyed both low-order features natively encoded in early visual cortex and high-order features generated in high-level regions, but with different spatial and temporal properties. The high-order feedback information targeted both superficial and deep layers, whereas the low-order feedback information reached only deep layers in V1. In addition, MEG results revealed that the feedback information from occipitotemporal to early visual cortex emerged around 200 ms after stimulus onset, and only the representational strength of high-order feedback information was significantly correlated with behavioral performance. These results indicate that the complex and simple components of feedback information play different roles in predictive processing mechanisms to facilitate sensory processing.

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Publication Details

Journal
eLife
Published
2026-01-02
DOI
https://doi.org/10.7554/elife.103788.3
Primary Topic
Face Recognition and Perception
Type
article
Field-Weighted Citation Impact
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article

Differential destinations, dynamics, and functions of high- and low-order features in the feedback signal during object processing

Jiedong Zhang, W. Z. Hou, Sheng He
eLife
Face Recognition and Perception
article

Differential destinations, dynamics, and functions of high- and low-order features in the feedback signal during object processing

Jiedong Zhang, W. Z. Hou, Sheng He
article en

Abstract

Brain is a hierarchical information processing system, in which the feedback signals from high-level to low-level regions are critical. The feedback signals may convey complex high-order features (e.g. category, identity) and simple low-order features (e.g. orientation, spatial frequency) to sensory cortex to interact with the feedforward information, but how these types of feedback information are represented and how they differ in facilitating visual processing remains unclear. The current study used the peripheral object discrimination task, 7T fMRI, and MEG to isolate feedback from feedforward signals in human early visual cortex. The results showed that feedback signals conveyed both low-order features natively encoded in early visual cortex and high-order features generated in high-level regions, but with different spatial and temporal properties. The high-order feedback information targeted both superficial and deep layers, whereas the low-order feedback information reached only deep layers in V1. In addition, MEG results revealed that the feedback information from occipitotemporal to early visual cortex emerged around 200 ms after stimulus onset, and only the representational strength of high-order feedback information was significantly correlated with behavioral performance. These results indicate that the complex and simple components of feedback information play different roles in predictive processing mechanisms to facilitate sensory processing.

eLifeVol. 13
Chinese Academy of Sciences (CN), Czech Academy of Sciences, Institute of Biophysics (CZ), National Science Centre (PL), University of Chinese Academy of Sciences (CN)
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Openalex Percentile: Top 99%
Face Recognition and Perception
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