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Volumn , Issue , 2003, Pages

Learning in spiking neural assemblies

Author keywords

[No Author keywords available]

Indexed keywords

NEURAL NETWORKS; NEURONS; OPTIMIZATION;

EID: 33646173413     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (12)

References (15)
  • 1
    • 0031024005 scopus 로고    scopus 로고
    • Synaptic depression and cortical gain control
    • L.F. Abbott, J.A. Varela, K. Sen, and S.B. Nelson, Synaptic depression and cortical gain control, Science 275 (1997), 220-223.
    • (1997) Science , vol.275 , pp. 220-223
    • Abbott, L.F.1    Varela, J.A.2    Sen, K.3    Nelson, S.B.4
  • 2
    • 84899027694 scopus 로고    scopus 로고
    • Dynamic Bayesian networks with deterministic latent tables
    • D. Barber, Dynamic Bayesian Networks with Deterministic Latent Tables, Neural Information Processing Systems (2003).
    • (2003) Neural Information Processing Systems
    • Barber, D.1
  • 3
    • 51149116465 scopus 로고    scopus 로고
    • Correlated sequence learning in a network of spiking neurons using maximum likelihood
    • 5 Forrest Hill, Edinburgh, UK
    • D. Barber and F. Agakov, Correlated sequence learning in a network of spiking neurons using maximum likelihood, Tech. Report EDI-INF-RR-0149, School of Informatics, 5 Forrest Hill, Edinburgh, UK, 2002.
    • (2002) Tech. Report EDI-INF-RR-0149, School of Informatics
    • Barber, D.1    Agakov, F.2
  • 4
    • 0036755131 scopus 로고    scopus 로고
    • A spiking neuron model: Applications and learning
    • C. Chrisodoulou, G. Bugmann, and T.G. Clarkson, A Spiking Neuron Model: Applications and Learning, Neural Networks 15 (2002), 891-908.
    • (2002) Neural Networks , vol.15 , pp. 891-908
    • Chrisodoulou, C.1    Bugmann, G.2    Clarkson, T.G.3
  • 5
    • 0040757475 scopus 로고    scopus 로고
    • Phase diagram and storage capacity of sequence processing neural networks
    • A. During, A.C.C. Coolen, and D. Sherrington, Phase diagram and storage capacity of sequence processing neural networks, Journal of Physics A 31 (1998), 8607-8621.
    • (1998) Journal of Physics A , vol.31 , pp. 8607-8621
    • During, A.1    Coolen, A.C.C.2    Sherrington, D.3
  • 6
    • 0027712687 scopus 로고
    • Why spikes? Hebbian learning and retrieval of time-resolved excitation patterns
    • W. Gerstner, R. Ritz, and J.L. van Hemmen, Why Spikes? Hebbian Learning and retrieval of time-resolved excitation patterns, Biological Cybernetics 69 (1993), 503-515.
    • (1993) Biological Cybernetics , vol.69 , pp. 503-515
    • Gerstner, W.1    Ritz, R.2    Van Hemmen, J.L.3
  • 11
    • 0031012615 scopus 로고    scopus 로고
    • Regulation of synaptic efficacy by coindence of postsynaptic APs and EPSPs
    • H. Markram, J. Lubke, M. Frotscher, and B. Sakmann, Regulation of synaptic efficacy by coindence of postsynaptic APs and EPSPs, Science 275 (1997), 213-215.
    • (1997) Science , vol.275 , pp. 213-215
    • Markram, H.1    Lubke, J.2    Frotscher, M.3    Sakmann, B.4
  • 13
    • 84898965939 scopus 로고    scopus 로고
    • Efficient temporal processing with biologically realistic dynamic synapses
    • T. Natschläger, W. Maass, and A. Zador, Efficient Temporal Processing with Biologically Realistic Dynamic Synapses, Tech Report (2002).
    • (2002) Tech Report
    • Natschläger, T.1    Maass, W.2    Zador, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.