The human infant brain: A neural architecture able to learn language

被引:0
|
作者
Ghislaine Dehaene-Lambertz
机构
[1] Cognitive Neuroimaging Unit,
[2] CEA DRF/I2BM,undefined
[3] INSERM,undefined
[4] Université Paris-Sud,undefined
[5] Université Paris-Saclay,undefined
[6] NeuroSpin Center,undefined
来源
关键词
Infant; Neuroimaging; Speech;
D O I
暂无
中图分类号
学科分类号
摘要
To understand the type of neural computations that may explain how human infants acquire their native language in only a few months, the study of their neural architecture is necessary. The development of brain imaging techniques has opened the possibilities of studying human infants without discomfort, and although these studies are still sparse, several characteristics are noticeable in the human infant’s brain: first, parallel and hierarchical processing pathways are observed before intense exposure to speech with an efficient temporal coding in the left hemisphere and, second, frontal regions are involved from the start in infants’ cognition. These observations are certainly not sufficient to explain language acquisition but illustrate a new approach that relies on a better description of infants’ brain activity during linguistic tasks, which is compared to results in animals and human adults to clarify the neural bases of language in humans.
引用
收藏
页码:48 / 55
页数:7
相关论文
共 50 条
  • [1] The human infant brain: A neural architecture able to learn language
    Dehaene-Lambertz, Ghislaine
    [J]. PSYCHONOMIC BULLETIN & REVIEW, 2017, 24 (01) : 48 - 55
  • [2] A Cognitive Neural Architecture Able to Learn and Communicate through Natural Language
    Golosio, Bruno
    Cangelosi, Angelo
    Gamotina, Olesya
    Masala, Giovanni Luca
    [J]. PLOS ONE, 2015, 10 (11):
  • [3] Language and the infant brain
    Bates, E
    [J]. JOURNAL OF COMMUNICATION DISORDERS, 1999, 32 (04) : 195 - 205
  • [4] Neural histology and neurogenesis of the human fetal and infant brain
    Kostovic, I.
    Sedmak, G.
    Judas, M.
    [J]. NEUROIMAGE, 2019, 188 : 743 - 773
  • [5] A biologically plausible neural network able to learn complex behaviors
    Vogel, D
    [J]. 7TH WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL XI, PROCEEDINGS: COMMUNICATION, NETWORK AND CONTROL SYSTEMS, TECHNOLOGIES AND APPLICATIONS: II, 2003, : 221 - 226
  • [6] Snakes elicit specific neural responses in the human infant brain
    J. Bertels
    M. Bourguignon
    A. de Heering
    F. Chetail
    X. De Tiège
    A. Cleeremans
    A. Destrebecqz
    [J]. Scientific Reports, 10
  • [7] Snakes elicit specific neural responses in the human infant brain
    Bertels, J.
    Bourguignon, M.
    de Heering, A.
    Chetail, F.
    De Tiege, X.
    Cleeremans, A.
    Destrebecqz, A.
    [J]. SCIENTIFIC REPORTS, 2020, 10 (01)
  • [8] A Compositional Neural Architecture for Language
    Martin, Andrea E.
    [J]. JOURNAL OF COGNITIVE NEUROSCIENCE, 2020, 32 (08) : 1407 - 1427
  • [9] Attentional Learn-able Pooling for Human Activity Recognition
    Debnath, Bappaditya
    O'Brien, Mary
    Kumar, Swagat
    Behera, Ardhendu
    [J]. 2021 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2021), 2021, : 13049 - 13055
  • [10] Neural indicators of numerical abilities in the infant human brain: A systematic review
    Visibelli, E.
    Porru, A.
    Lucangeli, D.
    Butterworth, B.
    Benavides-Varela, S.
    [J]. DEVELOPMENTAL REVIEW, 2024, 74