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Humans and other primates recognize one another in part based on unique structural details of the face, including both local features and their spatial configuration within the head and body. Visual analysis of the face is supported by specialized regions of the primate cerebral cortex, which in macaques are commonly known as face patches. Here we ask whether the responses of neurons in anterior face patches, thought to encode face identity, are more strongly driven by local or holistic facial structure. We created stimuli consisting of recombinant photorealistic images of macaques, where we interchanged the eyes, mouth, head, and body between individuals. Unexpectedly, neurons in the anterior medial (AM) and anterior fundus (AF) face patches were predominantly tuned to local facial features, with minimal neural selectivity for feature combinations. These findings indicate that the high-level structural encoding of face identity rests upon populations of neurons specialized for local features.
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http://dx.doi.org/10.1038/s41467-022-33240-w | DOI Listing |
Dermatol Reports
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Can Tho Medical University, Can Tho.
Melasma is a benign skin condition characterized by hyperpigmented patches, primarily affecting the face, and significantly reducing patients' quality of life. Treatment is challenging due to its recurrent nature, with no single modality proving universally effective. The combination of Q-switched Nd:YAG laser treatment and FOB® Tri-White Serum (Hong Nhung Cosmetics Co.
View Article and Find Full Text PDFSensors (Basel)
August 2025
School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, China.
The axle-box bearing is a critical load-bearing component in high-speed trains and is prone to failure under long-term heavy-duty operation, affecting both operational efficiency and safety. Current deep-learning-based fault diagnosis methods face two key challenges: difficulty in capturing temporal features across multiple scales simultaneously, and limited capability in modeling local sequential patterns. To address these issues, we propose P2IFormer, a fault diagnosis model based on multi-granularity patch-to-image embedding.
View Article and Find Full Text PDFSensors (Basel)
August 2025
State Key Laboratory of Ocean Sensing, Ocean College, Zhejiang University, Zhoushan 316021, China.
Limited depth of field in modern optical imaging systems often results in partially focused images. Multi-focus image fusion (MFF) addresses this by synthesizing an all-in-focus image from multiple source images captured at different focal planes. While deep learning-based MFF methods have shown promising results, existing approaches face significant challenges.
View Article and Find Full Text PDFBiomimetics (Basel)
July 2025
Engineering Research Center of Cyberspace, Yunnan University, Kunming 650504, China.
In recent years, the rapid advancement of deep learning techniques has significantly propelled the development of face forgery methods, drawing considerable attention to face forgery detection. However, existing detection methods still struggle with generalization across different datasets and forgery techniques. In this work, we address this challenge by leveraging both local texture cues and global frequency domain information in a complementary manner to enhance the robustness of face forgery detection.
View Article and Find Full Text PDFFront Bioeng Biotechnol
August 2025
Laboratory of Human Anatomy, Department of Health Sciences, University of Eastern Piedmont, Novara, Italy.
Introduction: Current hemostatic agents face several limitations, including reduced effectiveness in controlling massive bleeding or preventing thrombogenic events. Functional bleeding control could allow time for further treatment and decrease mortality rates. Using suitable hemostatic agents may improve surgical outcomes by eliminating avoidable complications.
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