Structural encoding of human and schematic faces: Holistic and part-based processes

被引:335
|
作者
Sagiv, N [1 ]
Bentin, S [1 ]
机构
[1] Hebrew Univ Jerusalem, IL-91905 Jerusalem, Israel
关键词
D O I
10.1162/089892901753165854
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
The range of specificity and the response properties of the extrastriate face area were investigated by comparing the N170 event-related potential (ERP) component elicited by photographs of natural faces, realistically painted portraits, sketches of faces, schematic faces, and by nonface meaningful and meaningless visual stimuli. Results showed that the N170 distinguished between faces and nonface stimuli when the concept of a face was clearly rendered by the visual stimulus, but it did not distinguish among different face types: Even a schematic face made from simple line fragments triggered the N170. However, in a second experiment, inversion seemed to have a different effect on natural faces in which face components were available and on the pure gestalt-based schematic faces: The N170 amplitude was enhanced when natural faces were presented upside down but reduced when schematic faces were inverted. Inversion delayed the N170 peak latency for both natural and schematic faces. Together, these results suggest that early face processing in the human brain is subserved by a multiple-component neural system in which both whole-face configurations and face parts are processed. The relative involvement of the two perceptual processes is probably determined by whether the physiognomic value of the stimuli depends upon holistic configuration, or whether the individual components can be associated with faces even when presented outside the face context.
引用
收藏
页码:937 / 951
页数:15
相关论文
共 50 条
  • [1] Holistic and part-based processes in recognition of upright and inverted faces
    McKinnon, MC
    Moscovitch, M
    PROCEEDINGS OF THE TWENTY FIRST ANNUAL CONFERENCE OF THE COGNITIVE SCIENCE SOCIETY, 1999, : 384 - 386
  • [2] Holistic versus part-based representation in the human brain.
    Lerner, Y
    Grill-Spector, K
    Kushnir, T
    Malach, R
    NEUROSCIENCE LETTERS, 1999, : S26 - S26
  • [3] Holistic and part-based face recognition in children with autism
    Joseph, RM
    Tanaka, J
    JOURNAL OF CHILD PSYCHOLOGY AND PSYCHIATRY, 2003, 44 (04) : 529 - 542
  • [4] Uniting holistic and part-based attitudes for accurate and robust deep human pose estimation
    Faranak Shamsafar
    Hossein Ebrahimnezhad
    Journal of Ambient Intelligence and Humanized Computing, 2021, 12 : 2339 - 2353
  • [5] Uniting holistic and part-based attitudes for accurate and robust deep human pose estimation
    Shamsafar, Faranak
    Ebrahimnezhad, Hossein
    JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2021, 12 (02) : 2339 - 2353
  • [6] Elastic Facial Movement Influences Part-Based but Not Holistic Processing
    Xiao, Naiqi G.
    Quinn, Paul C.
    Ge, Liezhong
    Lee, Kang
    JOURNAL OF EXPERIMENTAL PSYCHOLOGY-HUMAN PERCEPTION AND PERFORMANCE, 2013, 39 (05) : 1457 - 1467
  • [7] Part-based and holistic processing in face recognition in schizophrenia.
    Marvel, CL
    Schwartz, BL
    Rosse, RB
    Deutsch, SI
    JOURNAL OF COGNITIVE NEUROSCIENCE, 1999, : 83 - 83
  • [8] Investigating the Time Course of Part-Based and Holistic Processing in Face Perception
    Wang, Chao-Chih
    FRONTIERS IN PSYCHOLOGY, 2019, 9
  • [9] Combining Holistic and Part-based Deep Representations for Computational Painting Categorization
    Anwer, Rao Muhammad
    Khan, Fahad Shahbaz
    van de Weijer, Joost
    Laaksonen, Jorma
    ICMR'16: PROCEEDINGS OF THE 2016 ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA RETRIEVAL, 2016, : 339 - 342
  • [10] The Part Task of the Part-Spacing Paradigm Is Not a Pure Measurement of Part-Based Information of Faces
    Zhu, Qi
    Li, Xiaobai
    Chow, Kari
    Liu, Jia
    PLOS ONE, 2009, 4 (07):