Literature DB >> 20631223

Learning to discriminate face views.

Taiyong Bi1, Nihong Chen, Qiujie Weng, Dongjun He, Fang Fang.   

Abstract

Although perceptual learning of simple visual features has been studied extensively and intensively for many years, we still know little about the mechanisms of perceptual learning of complex object recognition. In a series of seven experiments, human perceptual learning in discrimination of in-depth orientation of face view was studied using psychophysical methods. We trained subjects to discriminate face orientations around a face view (i.e., 30°) over eight daily sessions, which resulted in a significant improvement in sensitivity to the face view orientation. This improved sensitivity was highly specific to the trained orientation and persisted up to 6 mo. Different from perceptual learning of simple visual features, this orientation-specific learning effect could completely transfer across changes in face size, visual field, and face identity. A complete transfer also occurred between two partial face images that were mutually exclusive but constituted a complete face. However, the transfer of the learning effect between upright and inverted faces and between a face and a paperclip object was very weak. These results shed light on the mechanisms of the perceptual learning of face view discrimination. They suggest that the visual system had learned how to compute face orientation from face configural information more accurately and that a large amount of plastic changes took place at a level of higher visual processing where size-, location-, and identity-invariant face views are represented.

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Year:  2010        PMID: 20631223     DOI: 10.1152/jn.00286.2010

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  11 in total

1.  Tilt aftereffect from orientation discrimination learning.

Authors:  Nihong Chen; Fang Fang
Journal:  Exp Brain Res       Date:  2011-10-14       Impact factor: 1.972

2.  Neural correlates of face gender discrimination learning.

Authors:  Junzhu Su; Qingleng Tan; Fang Fang
Journal:  Exp Brain Res       Date:  2013-01-10       Impact factor: 1.972

Review 3.  Impaired Face Perception in Individuals with Autism Spectrum Disorder: Insights on Diagnosis and Treatment.

Authors:  Taiyong Bi; Fang Fang
Journal:  Neurosci Bull       Date:  2017-11-09       Impact factor: 5.203

4.  Neural mechanisms of motion perceptual learning in noise.

Authors:  Nihong Chen; Junshi Lu; Hanyu Shao; Xuchu Weng; Fang Fang
Journal:  Hum Brain Mapp       Date:  2017-09-12       Impact factor: 5.038

5.  Identifying Long- and Short-Term Processes in Perceptual Learning.

Authors:  Jia Yang; Fang-Fang Yan; Lijun Chen; Shuhan Fan; Yifan Wu; Lei Jiang; Jie Xi; Junlei Zhao; Yudong Zhang; Zhong-Lin Lu; Chang-Bing Huang
Journal:  Psychol Sci       Date:  2022-04-28

6.  The perception of a familiar face is no more than the sum of its parts.

Authors:  Jason M Gold; Jarrett D Barker; Shawn Barr; Jennifer L Bittner; Alexander Bratch; W Drew Bromfield; Roy A Goode; Mary Jones; Doori Lee; Aparna Srinath
Journal:  Psychon Bull Rev       Date:  2014-12

7.  Towards a whole brain model of Perceptual Learning.

Authors:  Marcello Maniglia; Aaron R Seitz
Journal:  Curr Opin Behav Sci       Date:  2017-12-13

8.  Dissociable processes for orientation discrimination learning and contextual illusion magnitude.

Authors:  Charlotte Elizabeth Holmes Wilks; Geraint Rees; Dietrich Samuel Schwarzkopf
Journal:  PLoS One       Date:  2014-07-25       Impact factor: 3.240

9.  Disentangling locus of perceptual learning in the visual hierarchy of motion processing.

Authors:  Ruyuan Zhang; Duje Tadin
Journal:  Sci Rep       Date:  2019-02-07       Impact factor: 4.379

10.  Metacognitive Accuracy Improves With the Perceptual Learning of a Low- but Not High-Level Face Property.

Authors:  Benjamin Chen; Matthew Mundy; Naotsugu Tsuchiya
Journal:  Front Psychol       Date:  2019-07-24
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