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Volumn , Issue , 2014, Pages 427-432

Self-Organized Artificial Grammar Learning in Spiking Neural Networks

Author keywords

Artificial Grammar Learning; Plasticity; Self Organization; Sequence Learning

Indexed keywords

ARTIFICIAL GRAMMAR LEARNING; GRAMMAR LEARNING; HUMAN BEING; LEARNING PARADIGMS; NEURAL-NETWORKS; PERFORMANCE FEEDBACK; SELF ORGANIZATIONS; SELF-ORGANISED; SEQUENCE LEARNING; STRUCTURAL REGULARITY;

EID: 84953228219     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (11)
  • 3
    • 0001419757 scopus 로고
    • Distributed representations, simple recurrent networks, and grammatical structure
    • (September)
    • Elman, J. L., & Diego, S. (1991, September). Distributed representations, simple recurrent networks, and grammatical structure. Machine Learning, 7(2-3), 195-225.
    • (1991) Machine Learning , vol.7 , Issue.2-3 , pp. 195-225
    • Elman, J. L.1    Diego, S.2
  • 4
    • 33746657678 scopus 로고    scopus 로고
    • Neural correlates of artificial syntactic structure classification
    • Forkstam, C., Hagoort, P., Fernandez, G., Ingvar, M., & Petersson, K. M. (2006). Neural correlates of artificial syntactic structure classification. NeuroImage, 32(2), 956-67.
    • (2006) NeuroImage , vol.32 , Issue.2 , pp. 956-967
    • Forkstam, C.1    Hagoort, P.2    Fernandez, G.3    Ingvar, M.4    Petersson, K. M.5
  • 5
    • 68649088777 scopus 로고    scopus 로고
    • Reservoir computing approaches to recurrent neural network training
    • Lukoševicius, M., & Jaeger, H. (2009). Reservoir computing approaches to recurrent neural network training. Computer Science Review, 3(3), 127-149.
    • (2009) Computer Science Review , vol.3 , Issue.3 , pp. 127-149
    • Lukoševicius, M.1    Jaeger, H.2
  • 10
    • 68949147577 scopus 로고    scopus 로고
    • Generating coherent patterns of activity from chaotic neural networks
    • Sussillo, D., & Abbott, L. F. (2009). Generating coherent patterns of activity from chaotic neural networks. Neuron, 63(4), 544-557.
    • (2009) Neuron , vol.63 , Issue.4 , pp. 544-557
    • Sussillo, D.1    Abbott, L. F.2
  • 11
    • 84873511304 scopus 로고    scopus 로고
    • Network self-organization explains the statistics and dynamics of synaptic connection strengths in cortex
    • Zheng, P., Dimitrakakis, C., & Triesch, J. (2013). Network self-organization explains the statistics and dynamics of synaptic connection strengths in cortex. PLoS computational biology, 9(1), e1002848.
    • (2013) PLoS computational biology , vol.9 , Issue.1 , pp. e1002848
    • Zheng, P.1    Dimitrakakis, C.2    Triesch, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.