Decoding semantic representations in mind and brain

被引:14
|
作者
Frisby, Saskia L. [1 ]
Halai, Ajay D. [1 ]
Cox, Christopher R. [2 ]
Ralph, Matthew A. Lambon [1 ]
Rogers, Timothy T. [3 ]
机构
[1] Med Res Council MRC, Cognit & Brain Sci Unit, Chaucer Rd, Cambridge CB2 7EF, England
[2] Louisiana State Univ, Dept Psychol, Baton Rouge, LA 70803 USA
[3] Univ Wisconsin, Dept Psychol, 1202 West Johnson St, Madison, WI 53706 USA
基金
欧洲研究理事会;
关键词
NEURAL REPRESENTATIONS; TEMPORAL-LOBE; OBJECT REPRESENTATIONS; ECHO FMRI; WORDS; KNOWLEDGE; DEMENTIA; CORTEX; MEMORY; MODEL;
D O I
10.1016/j.tics.2022.12.006
中图分类号
B84 [心理学]; C [社会科学总论]; Q98 [人类学];
学科分类号
03 ; 0303 ; 030303 ; 04 ; 0402 ;
摘要
A key goal for cognitive neuroscience is to understand the neurocognitive systems that support semantic memory. Recent multivariate analyses of neuroimaging data have contributed greatly to this effort, but the rapid development of these novel approaches has made it difficult to track the diversity of findings and to understand how and why they sometimes lead to contradictory conclusions. We address this challenge by reviewing cognitive theories of semantic representation and their neural instantiation. We then consider contemporary approaches to neural decoding and assess which types of representation each can possibly detect. The analysis suggests why the results are heterogeneous and identifies crucial links between cognitive theory, data collection, and analysis that can help to better connect neuroimaging to mechanistic theories of semantic cognition.
引用
收藏
页码:258 / 281
页数:24
相关论文
共 50 条
  • [1] Semantic Prediction in Brain and Mind
    Pulvermueller, Friedemann
    Grisoni, Luigi
    [J]. TRENDS IN COGNITIVE SCIENCES, 2020, 24 (10) : 781 - 784
  • [2] Semantic representations in the bilingual brain
    Tan, LH
    Feng, CM
    Liu, HL
    Shen, G
    Gao, JH
    [J]. NEUROIMAGE, 2001, 13 (06) : S611 - S611
  • [3] DISTRIBUTED REPRESENTATIONS OF SEMANTIC KNOWLEDGE IN THE BRAIN
    SMALL, SL
    HART, J
    NGUYEN, T
    CORDON, B
    [J]. BRAIN, 1995, 118 : 441 - 453
  • [4] EEG decoding of semantic category reveals distributed representations for single concepts
    Murphy, Brian
    Poesio, Massimo
    Bovolo, Francesca
    Bruzzone, Lorenzo
    Dalponte, Michele
    Lakany, Heba
    [J]. BRAIN AND LANGUAGE, 2011, 117 (01) : 12 - 22
  • [5] Learning Deep Temporal Representations for fMRI Brain Decoding
    Firat, Orhan
    Aksan, Emre
    Oztekin, Ilke
    Vural, Fatos T. Yarman
    [J]. MACHINE LEARNING MEETS MEDICAL IMAGING, 2015, 9487 : 25 - 34
  • [6] Decoding Changes of Mind in Voluntary Action-Dynamics of Intentional Choice Representations
    Loffler, Anne
    Haggard, Patrick
    Bode, Stefan
    [J]. CEREBRAL CORTEX, 2020, 30 (03) : 1199 - 1212
  • [7] Decoding semantic representations from functional near-infrared spectroscopy signals
    Zinszer, Benjamin D.
    Bayet, Laurie
    Emberson, Lauren L.
    Raizada, Rajeev D. S.
    Aslin, Richard N.
    [J]. NEUROPHOTONICS, 2018, 5 (01)
  • [8] Brain-to-text: decoding spoken phrases from phone representations in the brain
    Herff, Christian
    Heger, Dominic
    de Pesters, Adriana
    Telaar, Dominic
    Brunner, Peter
    Schalk, Gerwin
    Schultz, Tanja
    [J]. FRONTIERS IN NEUROSCIENCE, 2015, 9
  • [9] Encoding and decoding of music-genre representations in the human brain
    Nakai, Tomoya
    Koide-Majima, Naoko
    Nishimoto, Shinji
    [J]. 2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2018, : 584 - 589
  • [10] Towards Sentence-Level Brain Decoding with Distributed Representations
    Sun, Jingyuan
    Wang, Shaonan
    Zhang, Jiajun
    Zong, Chengqing
    [J]. THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2019, : 7047 - 7054