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The rapid recognition and memory of faces and scenes implies the engagement of category-specific computational hubs in the ventral visual stream with the distributed cortical memory network. To better understand how recognition and identification occur in humans, we performed direct intracranial recordings, in a large cohort of patients (n = 50), from the medial parietal cortex (MPC) and the medial temporal lobe (MTL), structures known to be engaged during face and scene identification. We discovered that the MPC is topologically tuned to face and scene recognition, with clusters in MPC performing scene recognition bilaterally and face recognition in right subparietal sulcus. The MTL displayed a selectivity gradient with anterior, entorhinal cortex showing face selectivity and posterior parahippocampal regions showing scene selectivity. In both MPC and MTL, stimulus-specific identifiable exemplars led to greater activity in these cortical patches. These two regions work in concert for recognition of faces and scenes. Feature selectivity and identity-sensitive activity in the two regions was coincident, and they exhibited theta-phase locking during face and scene recognition. These findings together provide clear evidence for a specific role of subregions in the MPC for the recognition of unique entities.
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http://dx.doi.org/10.1016/j.cub.2020.05.018 | DOI Listing |
Maturitas
August 2025
Turku PET Centre, University of Turku and Åbo Akademi University, Finland; Turku University Hospital, Turku, Finland; Department of Psychology, University of Turku, Finland. Electronic address:
Objectives: Faces and bodies serve as important cues of physical attractiveness and reproductive fitness. Previous studies indicate that there are sex-related differences in the visual processing of erotic stimuli. We investigated gaze patterns and sex differences during sexual perception.
View Article and Find Full Text PDFElife
September 2025
Center for Mind and Brain, University of California, Davis, Davis, United States.
Visual search relies on the ability to use information about the target in working memory to guide attention and make target-match decisions. The 'attentional' or 'target' template is thought to be encoded within an inferior frontal junction (IFJ)-visual attentional network. While this template typically contains veridical target features, behavioral studies have shown that target-associated information, such as statistically co-occurring object pairs, can also guide attention.
View Article and Find Full Text PDFBiol Psychol
September 2025
Department of Psychology, Wright State University, Dayton OH. Electronic address:
Category-selectivity is a ubiquitous property of high-level visual cortex manifested in distinct cortical responses to faces, objects, and scenes. These signatures emerge early during visual processing, with each category sensitive to specific types of visual information at different time points. However, it is still not clear what information is extracted during early scene-selective processing, as scenes are rich, complex, and multidimensional stimuli.
View Article and Find Full Text PDFJ Vis
August 2025
Munsell Color Science Laboratory, Rochester Institute of Technology, Rochester, NY, USA.
Augmented reality (AR) aims to combine elements of the surrounding environment with additional virtual content into a combined viewing scene. Displaying virtual human faces is a widespread practical application of AR technology, which can be challenging in optical see-through AR (OST-AR) because of limitations in its color reproduction. Specifically, OST-AR's additive optical blending introduces transparency and color-bleeding, which is exacerbated especially for faces having darker skin tones, and for brighter and more chromatic ambient environments.
View Article and Find Full Text PDFPLoS One
August 2025
College of Physical Education, Chongqing University, Chongqing, China.
Accurate and timely detection of basketballs is crucial for ensuring fairness in games, enhancing the precision of data analysis, optimizing tactical planning for coaches, and improving the spectator experience. However, current basketball detection technologies face challenges such as variations in target scale, scene complexity, and changing camera angles, which limit automated systems' accuracy and real-time performance. To address these issues, this study introduces a novel real-time basketball detection model, BGS-YOLO, incorporating several key innovations.
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