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U.S.A."],"published-print":{"date-parts":[[2023,2,28]]},"abstract":"<jats:p>Neurons throughout the primate inferior temporal (IT) cortex respond selectively to visual images of faces and other complex objects. The response magnitude of neurons to a given image often depends on the size at which the image is presented, usually on a flat display at a fixed distance. While such size sensitivity might simply reflect the angular subtense of retinal image stimulation in degrees, one unexplored possibility is that it tracks the real-world geometry of physical objects, such as their size and distance to the observer in centimeters. This distinction bears fundamentally on the nature of object representation in IT and on the scope of visual operations supported by the ventral visual pathway. To address this question, we assessed the response dependency of neurons in the macaque anterior fundus (AF) face patch to the angular versus physical size of faces. We employed a macaque avatar to stereoscopically render three-dimensional (3D) photorealistic faces at multiple sizes and distances, including a subset of size\/distance combinations designed to cast the same size retinal image projection. We found that most AF neurons were modulated principally by the 3D physical size of the face rather than its two-dimensional (2D) angular size on the retina. Further, most neurons responded strongest to extremely large and small faces, rather than to those of normal size. Together, these findings reveal a graded encoding of physical size among face patch neurons, providing evidence that category-selective regions of the primate ventral visual pathway participate in a geometric analysis of real-world objects.<\/jats:p>","DOI":"10.1073\/pnas.2214996120","type":"journal-article","created":{"date-parts":[[2023,2,21]],"date-time":"2023-02-21T13:58:31Z","timestamp":1676987911000},"update-policy":"https:\/\/doi.org\/10.1073\/pnas.cm10313","source":"Crossref","is-referenced-by-count":8,"title":["Encoding of 3D physical dimensions by face-selective cortical neurons"],"prefix":"10.1073","volume":"120","author":[{"given":"Amit P.","family":"Khandhadia","sequence":"first","affiliation":[{"name":"Section on Cognitive Neurophysiology and Imaging, Laboratory of Neuropsychology, National Institute of Mental Health, NIH, Bethesda, MD 20892"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aidan 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