Norm-based face encoding by single neurons in the monkey inferotemporal cortex
David A. Leopold (),
Igor V. Bondar and
Martin A. Giese
Additional contact information
David A. Leopold: Max Planck Institut für biologische Kybernetik
Igor V. Bondar: Max Planck Institut für biologische Kybernetik
Martin A. Giese: University Clinic Tübingen
Nature, 2006, vol. 442, issue 7102, 572-575
Abstract:
An eye for a face More than 30 years ago, the discovery of face-selective neurons was reported in the inferotemporal cortex of monkeys. Despite dozens of subsequent reports of such 'face cells', and a general assumption that such neurons were likely to be involved in face recognition, little has been done since to compare spiking responses with the vast human psychophysical literature on face perception. But now a new set of experiments links face-selective neurons in the monkey inferotemporal cortex with a well-established psychological dimension of face perception. The study, in macaque monkeys trained to recognize computer-generated human faces, showed that the monkeys recognized a face by comparison to an average or 'norm' stored in their brains, not by memorizing what every individual looks like. A similar mechanism operating in humans might explain how we can recognize a face in a fraction of a second.
Date: 2006
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
https://www.nature.com/articles/nature04951 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:442:y:2006:i:7102:d:10.1038_nature04951
Ordering information: This journal article can be ordered from
https://www.nature.com/
DOI: 10.1038/nature04951
Access Statistics for this article
Nature is currently edited by Magdalena Skipper
More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().