Distinct visual processing networks for foveal and peripheral visual fields

被引:1
|
作者
Zhang, Jie [1 ,2 ,3 ]
Zhou, Huihui [2 ,3 ]
Wang, Shuo [1 ]
机构
[1] Washington Univ St Louis, Dept Radiol, St Louis, MO 63110 USA
[2] Peng Cheng Lab, Shenzhen 518000, Peoples R China
[3] Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China
关键词
FEATURE-BASED ATTENTION; FRONTAL EYE FIELD; SERIAL NEURAL MECHANISMS; AREA V4; NEURONAL SYNCHRONIZATION; CORTEX; SEARCH; FACE; CONNECTIONS; PERFORMANCE;
D O I
10.1038/s42003-024-06980-2
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Foveal and peripheral vision are two distinct modes of visual processing essential for navigating the world. However, it remains unclear if they engage different neural mechanisms and circuits within the visual attentional system. Here, we trained macaques to perform a free-gaze visual search task using natural face and object stimuli and recorded a large number of 14588 visually responsive units from a broadly distributed network of brain regions involved in visual attentional processing. Foveal and peripheral units had substantially different proportions across brain regions and exhibited systematic differences in encoding visual information and visual attention. The spike-local field potential (LFP) coherence of foveal units was more extensively modulated by both attention and visual selectivity, thus indicating differential engagement of the attention and visual coding network compared to peripheral units. Furthermore, we delineated the interaction and coordination between foveal and peripheral processing for spatial attention and saccade selection. Together, the systematic differences between foveal and peripheral processing provide valuable insights into how the brain processes and integrates visual information from different regions of the visual field. By recording from a large number of units in the attentional network, this study shows systematic differences between foveal and peripheral vision, shedding light on how the brain processes and integrates visual information for active visual behavior.
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页数:13
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