Evidence map›Paper›PMID 42622516›Full record

ArticleeLife2026

Neural computations in the foveal and peripheral visual fields during active search.

Jie Zhang, Xiaocang Zhu, Zhengyu Ma, Shanshan Wang, Yutian Wang, Hossein Esteky, Yonghong Tian, Huihui Zhou

Abstract read
In one paragraph

Article in eLife, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Jie Zhang *Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.ORCID https://orcid.org/0000-0002-1464-8639
Xiaocang Zhu *Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Zhengyu Ma *Network Intelligence Research, Peng Cheng Laboratory, Shenzhen, China.
Shanshan WangPaul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Yutian WangUniversity of Chinese Academy of Sciences, Beijing, China.
Hossein EstekyResearch Group for Brain and Cognitive Sciences, School of Medicine, Shahid Beheshti University, Tehran, Iran.
Yonghong TianNetwork Intelligence Research, Peng Cheng Laboratory, Shenzhen, China.
Huihui ZhouShenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.ORCID https://orcid.org/0000-0002-0747-1943

Funding

International Partnership Program of the Chinese Academy of Sciences 172644KYSB20160175National Natural Science Foundation of China 31671108National Natural Science Foundation of China 62027804National Natural Science Foundation of China 62206141National Natural Science Foundation of China 62236009Shenzhen Fundamental Research Program JCYJ20200109114805984
6 · The paper itself

Abstract

Active vision requires coordinated attentional processing across both foveal and peripheral receptive fields (RFs), yet the underlying neural dynamics and computational mechanisms remain poorly understood. Previous research has predominantly focused on attention in the visual periphery, leaving the role of foveal processing in naturalistic tasks largely unexplored. Here, we recorded neural activity from both foveal and peripheral RFs in areas V4 and IT of monkeys during free-gaze visual search among complex stimuli. We found robust feature-based attentional enhancements in foveal units, challenging the prevailing view that such modulation is predominantly peripheral. By integrating data from foveal and peripheral recordings, we revealed a non-uniform, dynamically distributed pattern of feature attention across the visual field. Behaviorally, foveal attentional enhancements promoted sustained or repeated fixations on targets, while peripheral attentional signals facilitated target detection and guidance of future saccades. These findings suggest that foveal and peripheral attention operate in a complementary fashion and highlight the critical role of foveal feature attention in shaping global attention allocation and fixation behavior during active vision. This work advances our understanding of the neural computations that support complex visual search and underscores the need to account for foveal processing in models of attention.

Indexed as

AttentionFovea CentralisVisual CortexVisual FieldsVisual PerceptionAnimalsFixation, OcularMacaca mulattaMalePhotic StimulationSaccadesattentioncategory selectivityfovealmacaquesneuroscienceperipheralrhesus macaquevisual search

Identifiers

PMID42622516
PMCPMC13493125

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.