Literature DB >> 20945176

Is face recognition not so unique after all?

I Gauthier, N K Logothetis.   

Abstract

In monkeys, a number of different neocortical as well as limbic structures have cell populations that respond preferentially to face stimuli. Face selectivity is also differentiated within itself: Cells in the inferior temporal and prefrontal cortex tend to respond to facial identity, others in the upper bank of the superior temporal sulcus to gaze directions, and yet another population in the amygdala to facial expression. The great majority of these cells are sensitive to the entire configuration of a face. Changing the spatial arrangement of the facial features greatly diminishes the neurons' response. It would appear, then, that an entire neural network for faces exists which contains units highly selective to complex configurations and that respond to different aspects of the object "face." Given the vital importance of face recognition in primates, this may not come as a surprise. But are faces the only objects represented in this way? Behavioural work in humans suggests that nonface objects may be processed like faces if subjects are required to discriminate between visually similar exemplars and acquire sufficient expertise in doing so. Recent neuroimaging studies in humans indicate that level of categorisation and expertise interact to produce the specialisation for faces in the middle fusiform gyrus. Here we discuss some new evidence in the monkey suggesting that any arbitrary homogeneous class of artificial objects-which the animal has to individually learn, remember, and recognise again and again from among a large number of distractors sharing a number of common features with the target-can induce configurational selectivity in the response of neurons in the visual system. For all of the animals tested, the neurons from which we recorded were located in the anterior inferotemporal cortex. However, as we have only recorded from the posterior and anterior ventrolateral temporal lobe, other cells with a similar selectivity for the same objects may also exist in areas of the medial temporal lobe or in the limbic structures of the same "expert" monkeys. It seems that the encoding scheme used for faces may also be employed for other classes with similar properties. Thus, regarding their neural encoding, faces are not "special" but rather the "default special" class in the primate recognition system.

Entities:  

Year:  2000        PMID: 20945176     DOI: 10.1080/026432900380535

Source DB:  PubMed          Journal:  Cogn Neuropsychol        ISSN: 0264-3294            Impact factor:   2.468


  26 in total

1.  First- and second-order configural sensitivity for greeble stimuli in baboons.

Authors:  Carole Parron; Joël Fagot
Journal:  Learn Behav       Date:  2010-11       Impact factor: 1.986

2.  "We all look the same to me": positive emotions eliminate the own-race in face recognition.

Authors:  Kareem J Johnson; Barbara L Fredrickson
Journal:  Psychol Sci       Date:  2005-11

Review 3.  Face perception: an integrative review of the role of spatial frequencies.

Authors:  Marcos Ruiz-Soler; Francesc S Beltran
Journal:  Psychol Res       Date:  2005-08-02

4.  Letter processing in the visual system: different activation patterns for single letters and strings.

Authors:  Karin H James; Thomas W James; Gael Jobard; Alan C N Wong; Isabel Gauthier
Journal:  Cogn Affect Behav Neurosci       Date:  2005-12       Impact factor: 3.282

5.  A behavioural and ERP investigation of 3-month-olds' face preferences.

Authors:  Viola Macchi Cassia; Dana Kuefner; Alissa Westerlund; Charles A Nelson
Journal:  Neuropsychologia       Date:  2005-12-20       Impact factor: 3.139

Review 6.  Social variables exert selective pressures in the evolution and form of primate mimetic musculature.

Authors:  Anne M Burrows; Ly Li; Bridget M Waller; Jerome Micheletta
Journal:  J Anat       Date:  2016-01-11       Impact factor: 2.610

Review 7.  Attention in the real world: toward understanding its neural basis.

Authors:  Marius V Peelen; Sabine Kastner
Journal:  Trends Cogn Sci       Date:  2014-03-13       Impact factor: 20.229

Review 8.  The neural basis of visual object learning.

Authors:  Hans P Op de Beeck; Chris I Baker
Journal:  Trends Cogn Sci       Date:  2009-11-27       Impact factor: 20.229

9.  Intent to remember briefly presented human faces and other pictorial stimuli enhances recognition memory.

Authors:  Richard A Block
Journal:  Mem Cognit       Date:  2009-07

10.  'Faceness' and affectivity: evidence for genetic contributions to distinct components of electrocortical response to human faces.

Authors:  Robert W Shannon; Christopher J Patrick; Noah C Venables; Sheng He
Journal:  Neuroimage       Date:  2013-06-12       Impact factor: 6.556

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