Object Recognition in Mental Representations: Directions for Exploring Diagnostic Features through Visual Mental Imagery

被引:16
|
作者
Roldan, Stephanie M. [1 ]
机构
[1] Virginia Polytech Inst & State Univ, Psychol Dept, Virginia Tech, Visual Neurosci Lab, Blacksburg, VA 24061 USA
来源
FRONTIERS IN PSYCHOLOGY | 2017年 / 8卷
关键词
object recognition; diagnostic features; mental imagery; visual perception; neuroimaging; eye tracking; NEAR-INFRARED SPECTROSCOPY; EYE-MOVEMENTS; HUMAN BRAIN; COLOR INFORMATION; WORKING-MEMORY; MOTOR IMAGERY; PERCEPTION; CORTEX; ACTIVATION; FMRI;
D O I
10.3389/fpsyg.2017.00833
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
One of the fundamental goals of object recognition research is to understand how a cognitive representation produced from the output of filtered and transformed sensory information facilitates efficient viewer behavior. Given that mental imagery strongly resembles perceptual processes in both cortical regions and subjective visual qualities, it is reasonable to question whether mental imagery facilitates cognition in a manner similar to that of perceptual viewing: via the detection and recognition of distinguishing features. Categorizing the feature content of mental imagery holds potential as a reverse pathway by which to identify the components of a visual stimulus which are most critical for the creation and retrieval of a visual representation. This review will examine the likelihood that the information represented in visual mental imagery reflects distinctive object features thought to facilitate efficient object categorization and recognition during perceptual viewing. If it is the case that these representational features resemble their sensory counterparts in both spatial and semantic qualities, they may well be accessible through mental imagery as evaluated through current investigative techniques. In this review, methods applied to mental imagery research and their findings are reviewed and evaluated for their efficiency in accessing internal representations, and implications for identifying diagnostic features are discussed. An argument is made for the benefits of combining mental imagery assessment methods with diagnostic feature research to advance the understanding of visual perceptive processes, with suggestions for avenues of future investigation.
引用
收藏
页数:15
相关论文
共 50 条
  • [41] Neural representations underlying mental imagery as unveiled by representation similarity analysis
    Boccia, Maddalena
    Sulpizio, Valentina
    Bencivenga, Federica
    Guariglia, Cecilia
    Galati, Gaspare
    BRAIN STRUCTURE & FUNCTION, 2021, 226 (05) : 1511 - 1531
  • [42] Neural representations underlying mental imagery as unveiled by representation similarity analysis
    Maddalena Boccia
    Valentina Sulpizio
    Federica Bencivenga
    Cecilia Guariglia
    Gaspare Galati
    Brain Structure and Function, 2021, 226 : 1511 - 1531
  • [43] Role of working memory in transformation of visual and motor representations for use in mental simulation
    Gabbard, Carl
    Lee, Jihye
    Cacola, Priscila
    COGNITIVE NEUROSCIENCE, 2013, 4 (3-4) : 210 - 216
  • [44] The role of action representations in visual object recognition
    Hannah Barbara Helbig
    Markus Graf
    Markus Kiefer
    Experimental Brain Research, 2006, 174 : 221 - 228
  • [45] The role of action representations in visual object recognition
    Helbig, Hannah Barbara
    Graf, Markus
    Kiefer, Markus
    EXPERIMENTAL BRAIN RESEARCH, 2006, 174 (02) : 221 - 228
  • [46] A spiking neural network model of spatial and visual mental imagery
    Riley, Sean N.
    Davies, Jim
    COGNITIVE NEURODYNAMICS, 2020, 14 (02) : 239 - 251
  • [47] Visual mental imagery induces retinotopically organized activation of early visual areas
    Slotnick, SD
    Thompson, WL
    Kosslyn, SM
    CEREBRAL CORTEX, 2005, 15 (10) : 1570 - 1583
  • [48] Visual mental imagery influences attentional guidance in a visual-search task
    Moriya, Jun
    ATTENTION PERCEPTION & PSYCHOPHYSICS, 2018, 80 (05) : 1127 - 1142
  • [49] Mental Imagery: rehabilitation through simulation
    Di Nuovo, Santo
    De La Cruz, Vivian
    Conti, Daniela
    Buono, Serafino
    Di Nuovo, Alessandro
    LIFE SPAN AND DISABILITY, 2014, 17 (01) : 89 - 118
  • [50] Autonomous learning in humanoid robotics through mental imagery
    Di Nuovo, Alessandro G.
    Marocco, Davide
    Di Nuovo, Santo
    Cangelosi, Angelo
    NEURAL NETWORKS, 2013, 41 : 147 - 155