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Volumn , Issue , 2005, Pages

Reducing spike train variability: A computational theory of spike-timing dependent plasticity

Author keywords

[No Author keywords available]

Indexed keywords

ELECTROPHYSIOLOGY;

EID: 84898973877     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (15)

References (18)
  • 1
    • 0034928712 scopus 로고    scopus 로고
    • Synaptic modification by correlated activity: Hebb's postulate revisited
    • G-q. Bi and M-m. Poo. Synaptic modification by correlated activity: Hebb's postulate revisited. Ann. Rev. Neurosci., 24:139-166, 2001.
    • (2001) Ann. Rev. Neurosci. , vol.24 , pp. 139-166
    • Bi, G.-Q.1    Poo, M.-M.2
  • 2
    • 0039484217 scopus 로고    scopus 로고
    • Spike-timing-dependent plasticity: Common themes and divergent vistas
    • A. Kepecs, M.C.W. van Rossum, S. Song, and J. Tegner. Spike-timing-dependent plasticity: common themes and divergent vistas. Biol. Cybern., 87:446-458, 2002.
    • (2002) Biol. Cybern. , vol.87 , pp. 446-458
    • Kepecs, A.1    Van Rossum, M.C.W.2    Song, S.3    Tegner, J.4
  • 3
    • 0742324114 scopus 로고    scopus 로고
    • How the shape of pre and postsynaptic signals can influence STDP: A biophysical model
    • A. Saudargiene, B. Porr, and F. Worgotter. How the shape of pre- And postsynaptic signals can influence stdp: A biophysical model. Neural Comp., 16:595-625, 2004.
    • (2004) Neural Comp. , vol.16 , pp. 595-625
    • Saudargiene, A.1    Porr, B.2    Worgotter, F.3
  • 4
    • 0029821128 scopus 로고    scopus 로고
    • A neural learning rule for sub-millisecond temporal coding
    • W. Gerstner, R. Kempter, J. L. van Hemmen, and H. Wagner. A neural learning rule for sub-millisecond temporal coding. Nature, 383:76-78, 1996.
    • (1996) Nature , vol.383 , pp. 76-78
    • Gerstner, W.1    Kempter, R.2    Van Hemmen, J.L.3    Wagner, H.4
  • 5
    • 0033860923 scopus 로고    scopus 로고
    • Competitive hebbian learning through spiketime -dependent synaptic plasticity
    • S. Song, K. Miller, and L. Abbott. Competitive hebbian learning through spiketime -dependent synaptic plasticity. Nat. Neurosci., 3:919-926, 2000.
    • (2000) Nat. Neurosci. , vol.3 , pp. 919-926
    • Song, S.1    Miller, K.2    Abbott, L.3
  • 6
    • 0034551719 scopus 로고    scopus 로고
    • Stable hebbian learning from spike time dependent plasticity
    • R. van Rossum, G.-q. Bi, and G.G. Turrigiano. Stable hebbian learning from spike time dependent plasticity. J. Neurosci., 20:8812-8821, 2000.
    • (2000) J. Neurosci. , vol.20 , pp. 8812-8821
    • Van Rossum, R.1    Bi, G.-Q.2    Turrigiano, G.G.3
  • 8
    • 0035489925 scopus 로고    scopus 로고
    • Spike-timing-dependent plasticity as temporal difference learning
    • R.P.N. Rao and T.J. Sejnowski. Spike-timing-dependent plasticity as temporal difference learning. Neural Comp., 13:2221-2237, 2001.
    • (2001) Neural Comp. , vol.13 , pp. 2221-2237
    • Rao, R.P.N.1    Sejnowski, T.J.2
  • 9
    • 33646821022 scopus 로고    scopus 로고
    • Plasticity kernels and temporal statistics
    • S. Thrun, L. Saul, and B. Scholkopf, editors
    • P. Dayan and M. Hausser. Plasticity kernels and temporal statistics. In S. Thrun, L. Saul, and B. Scholkopf, editors, NIPS 16. 2004.
    • (2004) NIPS , vol.16
    • Dayan, P.1    Hausser, M.2
  • 10
    • 0037822252 scopus 로고    scopus 로고
    • Spike-timing-dependent plascticity and relevant mutual information maximization
    • G. Chechik. Spike-timing-dependent plascticity and relevant mutual information maximization. Neural Comp., 15:1481-1510, 2003.
    • (2003) Neural Comp. , vol.15 , pp. 1481-1510
    • Chechik, G.1
  • 11
    • 0037187567 scopus 로고    scopus 로고
    • Spike-timing-dependent synaptic modification induced by natural spike trains
    • R.C. Froemke and Y. Dan. Spike-timing-dependent synaptic modification induced by natural spike trains. Nature, 416:433-438, 2002.
    • (2002) Nature , vol.416 , pp. 433-438
    • Froemke, R.C.1    Dan, Y.2
  • 12
    • 0032480332 scopus 로고    scopus 로고
    • A critical window for cooperation and competition among developing retinotectal synapses
    • L.l. Zhang, H.W. Tao, C.E. Holt, W.A. Harris, and M-m. Poo. A critical window for cooperation and competition among developing retinotectal synapses. Nature, 395:37-44, 1998.
    • (1998) Nature , vol.395 , pp. 37-44
    • Zhang, L.L.1    Tao, H.W.2    Holt, C.E.3    Harris, W.A.4    Poo, M.-M.5
  • 13
    • 77956761866 scopus 로고    scopus 로고
    • A framework for spiking neuron models: The spike response model
    • F. Moss & S. Gielen (eds)
    • W. Gerstner. A framework for spiking neuron models: The spike response model. In F. Moss & S. Gielen (eds), The Handbook of Biol. Physics, vol 4, pp 469-516, 2001.
    • (2001) The Handbook of Biol. Physics , vol.4 , pp. 469-516
    • Gerstner, W.1
  • 14
    • 84898968206 scopus 로고    scopus 로고
    • Maximizing information yields spike timing dependent plasticity
    • A.J. Bell and L.C. Parra. Maximizing information yields spike timing dependent plasticity. NIPS 17. 2005.
    • (2005) NIPS , vol.17
    • Bell, A.J.1    Parra, L.C.2
  • 15
    • 84898963738 scopus 로고    scopus 로고
    • Spike-timing dependent plasticity and mutual information maximization for a spiking neuron model
    • T. Toyoizumi, J-P. Pfister, K. Aihara, and W. Gerstner. Spike-timing dependent plasticity and mutual information maximization for a spiking neuron model. NIPS 17. 2005.
    • (2005) NIPS , vol.17
    • Toyoizumi, T.1    Pfister, J.-P.2    Aihara, K.3    Gerstner, W.4
  • 16
    • 35248819696 scopus 로고    scopus 로고
    • The spike response model: A framework to predict neuronal spike trains
    • Kaynak et al.(eds)
    • R. Jolivet, T.J. Lewis, and W. Gerstner. The spike response model: A framework to predict neuronal spike trains. In Kaynak et al.(eds), Proc. ICANN/ICONIP 2003, pp 846-853. 2003.
    • (2003) Proc. ICANN/ICONIP 2003 , pp. 846-853
    • Jolivet, R.1    Lewis, T.J.2    Gerstner, W.3
  • 17
    • 0035680305 scopus 로고    scopus 로고
    • Noise and the PSTH response to current transients: I
    • A. Herrmann and W. Gerstner. Noise and the PSTH response to current transients: I. J. Comp. Neurosci., 11:135-151, 2001.
    • (2001) J. Comp. Neurosci. , vol.11 , pp. 135-151
    • Herrmann, A.1    Gerstner, W.2
  • 18
    • 37649027755 scopus 로고    scopus 로고
    • Learning in neural networks by reinforcement of irregular spiking
    • X. Xie and H.S. Seung. Learning in neural networks by reinforcement of irregular spiking. Physical Review E, 69(041909), 2004.
    • (2004) Physical Review E , vol.69 , pp. 041909
    • Xie, X.1    Seung, H.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.