Neural mechanisms for learned birdsong

被引:132
|
作者
Mooney, Richard [1 ]
机构
[1] Duke Univ, Med Ctr, Dept Neurobiol, Durham, NC 27710 USA
关键词
ZEBRA FINCH SONG; GANGLIA-FOREBRAIN CIRCUIT; VOCAL CONTROL NUCLEUS; AUDITORY TEMPORAL CONTEXT; SINGING-RELATED ACTIVITY; VENTRAL TEGMENTAL AREA; IDENTIFIED HVC NEURONS; AXONAL CONNECTIONS; ANTERIOR FOREBRAIN; DOPAMINE NEURONS;
D O I
10.1101/lm.1065209
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Learning by imitation is essential for transmitting many aspects of human culture, including speech, language, art, and music. How the human brain enables imitation remains a mystery, but the underlying neural mechanisms must harness sensory feedback to adaptively modify performance in reference to the object of imitation. Although examples of imitative learning in nonhuman animals are relatively rare, juvenile songbirds learn to sing by copying the song of an adult tutor. The delineation of neural circuits for birdsong raises the promise that this complex form of vocal learning, which bears strong parallels to human speech learning, can be understood in terms of underlying neural mechanisms. This promise is now being more fully realized, with recent experimental advances leading to better understanding of the central motor codes for song and the central mechanisms by which auditory experience modifies song motor commands to enable vocal learning.
引用
收藏
页码:655 / 669
页数:15
相关论文
共 50 条
  • [31] Neural dynamics underlying birdsong practice and performance
    Jonnathan Singh Alvarado
    Jack Goffinet
    Valerie Michael
    William Liberti
    Jordan Hatfield
    Timothy Gardner
    John Pearson
    Richard Mooney
    Nature, 2021, 599 : 635 - 639
  • [32] Synaptic transformations underlying highly selective auditory representations of learned birdsong
    Coleman, MJ
    Mooney, R
    JOURNAL OF NEUROSCIENCE, 2004, 24 (33): : 7251 - 7265
  • [33] Motor mechanisms of a vocal mimic: implications for birdsong production
    Zollinger, SA
    Suthers, RA
    PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2004, 271 (1538) : 483 - 491
  • [34] Twitter evolution: converging mechanisms in birdsong and human speech
    Bolhuis, Johan J.
    Okanoya, Kazuo
    Scharff, Constance
    NATURE REVIEWS NEUROSCIENCE, 2010, 11 (11) : 747 - 759
  • [35] Twitter evolution: converging mechanisms in birdsong and human speech
    Johan J. Bolhuis
    Kazuo Okanoya
    Constance Scharff
    Nature Reviews Neuroscience, 2010, 11 : 747 - 759
  • [36] An Oscillatory Neural Network Model for Birdsong Learning and Generation
    Manaithunai, Maya
    Chakravarthy, Srinivasa
    Balaraman, Ravindran
    ARTIFICIAL NEURAL NETWORKS-ICANN 2010, PT II, 2010, 6353 : 210 - +
  • [37] Mapping neural architectures onto acoustic features of birdsong
    Abarbanel, HDI
    Gibb, L
    Mindlin, GB
    Talathi, S
    JOURNAL OF NEUROPHYSIOLOGY, 2004, 92 (01) : 96 - 110
  • [38] A neural network model for generating complex birdsong syntax
    Kentaro Katahira
    Kazuo Okanoya
    Masato Okada
    Biological Cybernetics, 2007, 97 : 441 - 448
  • [39] Interhemispheric dominance switching in a neural network model for birdsong
    Galvis, Daniel
    Wu, Wei
    Hyson, Richard L.
    Johnson, Frank
    Bertram, Richard
    JOURNAL OF NEUROPHYSIOLOGY, 2018, 120 (03) : 1186 - 1197
  • [40] DEVELOPMENT OF NEURAL SELECTIVITY FOR BIRDSONG DURING VOCAL LEARNING
    VOLMAN, SF
    JOURNAL OF NEUROSCIENCE, 1993, 13 (11): : 4737 - 4747