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Volumn 4131 LNCS - I, Issue , 2006, Pages 718-727

Phase precession and recession with STDP and anti-STDP

Author keywords

[No Author keywords available]

Indexed keywords

PLASTICITY; SYNCHRONIZATION;

EID: 33749871007     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11840817_75     Document Type: Conference Paper
Times cited : (4)

References (32)
  • 1
    • 0031012615 scopus 로고    scopus 로고
    • Regulation of synaptic efficacy by coincidence of postsynaptic APs and EPSPs
    • Markram, H., Lübke, J., Frotscher, M., Sakmann, B.: Regulation of synaptic efficacy by coincidence of postsynaptic APs and EPSPs. Science 275 (1997) 213-215
    • (1997) Science , vol.275 , pp. 213-215
    • Markram, H.1    Lübke, J.2    Frotscher, M.3    Sakmann, B.4
  • 2
    • 0032535029 scopus 로고    scopus 로고
    • Synaptic modifications in cultured hippocampal neurons: Dependence on spike timing, synaptic strength, and postsynaptic cell type
    • Bi, G.Q., Poo, M.M.: Synaptic modifications in cultured hippocampal neurons: Dependence on spike timing, synaptic strength, and postsynaptic cell type. Journal of Neuroscience 18 (1998) 10464-10472
    • (1998) Journal of Neuroscience , vol.18 , pp. 10464-10472
    • Bi, G.Q.1    Poo, M.M.2
  • 3
    • 5344240347 scopus 로고    scopus 로고
    • Spike timing-dependent plasticity of neural circuits
    • Dan, Y., Poo, M.M.: Spike timing-dependent plasticity of neural circuits. Neuron 44 (2004) 23-30
    • (2004) Neuron , vol.44 , pp. 23-30
    • Dan, Y.1    Poo, M.M.2
  • 4
    • 0026776475 scopus 로고
    • Hebbian depression of isolated neuromuscular synapses in vitro
    • Dan, Y., Poo, M.M.: Hebbian depression of isolated neuromuscular synapses in vitro. Science 256 (1992) 1570-1573
    • (1992) Science , vol.256 , pp. 1570-1573
    • Dan, Y.1    Poo, M.M.2
  • 5
    • 0030916321 scopus 로고    scopus 로고
    • Synaptic plasticity in a cerebellum-like structure depends on temporal order
    • Bell, C.C., Han, V.Z., Sugawara, Y., Grant, K.: Synaptic plasticity in a cerebellum-like structure depends on temporal order. Nature 387 (1997) 278-281
    • (1997) Nature , vol.387 , pp. 278-281
    • Bell, C.C.1    Han, V.Z.2    Sugawara, Y.3    Grant, K.4
  • 6
    • 0033490390 scopus 로고    scopus 로고
    • Coincidence detection and changes of synaptic efficacy in spiny stellate neurons in rat barrel cortex
    • Egger, V., Feldmeyer, D., Sakmann, B.: Coincidence detection and changes of synaptic efficacy in spiny stellate neurons in rat barrel cortex. Nature Neuroscience 2 (1999) 1098-1105
    • (1999) Nature Neuroscience , vol.2 , pp. 1098-1105
    • Egger, V.1    Feldmeyer, D.2    Sakmann, B.3
  • 7
    • 0039484223 scopus 로고    scopus 로고
    • Spike timing dependent synaptic plasticity in biological systems
    • Roberts, P.D., Bell, C.C.: Spike timing dependent synaptic plasticity in biological systems. Biological Cybernetics 87 (2002) 392-403
    • (2002) Biological Cybernetics , vol.87 , pp. 392-403
    • Roberts, P.D.1    Bell, C.C.2
  • 9
    • 0035653423 scopus 로고    scopus 로고
    • Intrinsic stabilization of output rates by spike-based Hebbian learning
    • Kempter, R., Gerstner, W., van Hemmen, J.L.: Intrinsic stabilization of output rates by spike-based Hebbian learning, Neural Computation 13 (2001) 2709-2742
    • (2001) Neural Computation , vol.13 , pp. 2709-2742
    • Kempter, R.1    Gerstner, W.2    Van Hemmen, J.L.3
  • 10
    • 0033860923 scopus 로고    scopus 로고
    • Competitive hebbian learning through spike-timing-dependent synaptic plasticity
    • Song, S., Miller, K.D., Abbott, L.F.: Competitive hebbian learning through spike-timing-dependent synaptic plasticity, Nature Neuroscience 3 (2000) 919-926
    • (2000) Nature Neuroscience , vol.3 , pp. 919-926
    • Song, S.1    Miller, K.D.2    Abbott, L.F.3
  • 11
    • 0032696609 scopus 로고    scopus 로고
    • Computational consequences of temporally asymmetric learning rules: I. Differential Hebbian learning
    • Roberts, P.: Computational consequences of temporally asymmetric learning rules: I. Differential Hebbian learning. Journal of Computational Neuroscience 7 (1999) 235-246
    • (1999) Journal of Computational Neuroscience , vol.7 , pp. 235-246
    • Roberts, P.1
  • 12
    • 0035489925 scopus 로고    scopus 로고
    • Spike-timing-dependent Hebbian plasticity as temporal difference learning
    • Rao, R.P.N., Sejnowski, T.J.: Spike-timing-dependent Hebbian plasticity as temporal difference learning. Neural Computation 13 (2001) 2221-2237
    • (2001) Neural Computation , vol.13 , pp. 2221-2237
    • Rao, R.P.N.1    Sejnowski, T.J.2
  • 13
    • 84898963738 scopus 로고    scopus 로고
    • Spike-timing dependent plasticity and mutual information maximization for a spiking neuron model
    • Saul, L., Weiss, Y., Bottou, L., eds., MIT Press
    • Toyoizumi, T., Pfister, J.P., Aihara, K., Gerstner, W.: Spike-timing dependent plasticity and mutual information maximization for a spiking neuron model. In Saul, L., Weiss, Y., Bottou, L., eds.: Advances in Neural Information Processing Systems. Volume 17., MIT Press (2005) 1409-1416
    • (2005) Advances in Neural Information Processing Systems , vol.17 , pp. 1409-1416
    • Toyoizumi, T.1    Pfister, J.P.2    Aihara, K.3    Gerstner, W.4
  • 14
    • 33749817649 scopus 로고    scopus 로고
    • Maximising sensitivity in a spiking network
    • Saul, L.K., Weiss, Y., Bottou, L., eds. Cambridge, MA, MIT Press
    • Bell, A.J., Parrara, L.C.: Maximising sensitivity in a spiking network. In Saul, L.K., Weiss, Y., Bottou, L., eds.: Advances in Neural Information Processing Systems. Volume 17., Cambridge, MA, MIT Press (2004)
    • (2004) Advances in Neural Information Processing Systems , vol.17
    • Bell, A.J.1    Parrara, L.C.2
  • 15
    • 0037822252 scopus 로고    scopus 로고
    • Spike time dependent plasticity and information maximization
    • Chechik, G.: Spike time dependent plasticity and information maximization. Neural Computation 15 (2003) 1481-1510
    • (2003) Neural Computation , vol.15 , pp. 1481-1510
    • Chechik, G.1
  • 16
    • 33749844941 scopus 로고    scopus 로고
    • Reducing spike train variability: A computational theory of spike-timing dependent plasticity
    • Saul, L.K., Weiss, Y., Bottou, L., eds., Cambridge, MA, MIT Press
    • Bohte, S.M., Mozer, C.: Reducing spike train variability: A computational theory of spike-timing dependent plasticity. In Saul, L.K., Weiss, Y., Bottou, L., eds.: Advances in Neural Information Processing Systems. Volume 17., Cambridge, MA, MIT Press (2004)
    • (2004) Advances in Neural Information Processing Systems , vol.17
    • Bohte, S.M.1    Mozer, C.2
  • 17
    • 0345827561 scopus 로고    scopus 로고
    • Learning rules and network repair in spike-tirning-based computation networks
    • Hopfield, J.J., Brody, C.D.: Learning rules and network repair in spike-tirning-based computation networks. Proceedings of the National Academy of Sciences 101 (2004) 337-342
    • (2004) Proceedings of the National Academy of Sciences , vol.101 , pp. 337-342
    • Hopfield, J.J.1    Brody, C.D.2
  • 18
    • 25144452832 scopus 로고    scopus 로고
    • What can a neuron learn with spike-timing-dependent plasticity?
    • Legenstein, R., Naeger, C., Maass, W.: What can a neuron learn with spike-timing-dependent plasticity? Neural Computation 17 (2005) 2337-2382
    • (2005) Neural Computation , vol.17 , pp. 2337-2382
    • Legenstein, R.1    Naeger, C.2    Maass, W.3
  • 19
    • 33749824866 scopus 로고    scopus 로고
    • Homeostasis and learning through spike-timing dependent plasticity
    • Gutkin, B., Hansel, D., Meunier, C., Dalibard, J., Chow, C., eds. Elsevier Science
    • Abbott, L.F., Gerstner, W.: Homeostasis and learning through spike-timing dependent plasticity. In Gutkin, B., Hansel, D., Meunier, C., Dalibard, J., Chow, C., eds.: Methods and Models in Neurophysics: Proceedings of the Les Houches Summer School 2003. Elsevier Science (2005)
    • (2005) Methods and Models in Neurophysics: Proceedings of the les Houches Summer School 2003
    • Abbott, L.F.1    Gerstner, W.2
  • 20
    • 33749843948 scopus 로고    scopus 로고
    • A reinforcement learning algorithm for spiking neural networks
    • Zaharie, D., Petcu, D., Negru, V.. Jebelean, T., Ciobanu, G., Cicortas, A., Abraham, A., Paprzycki, M., eds., IEEE Computer Society
    • Florian, R.V.: A reinforcement learning algorithm for spiking neural networks. In Zaharie, D., Petcu, D., Negru, V.. Jebelean, T., Ciobanu, G., Cicortas, A., Abraham, A., Paprzycki, M., eds.: Proceedings of the Seventh International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2005), IEEE Computer Society (2005) 299-306
    • (2005) Proceedings of the Seventh International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2005) , pp. 299-306
    • Florian, R.V.1
  • 21
    • 33749823539 scopus 로고    scopus 로고
    • Reinforcement learning through modulation of spike-timing dependent plasticity
    • In press
    • Florian, R.V.: Reinforcement learning through modulation of spike-timing dependent plasticity. Neural Computation (2006) In press.
    • (2006) Neural Computation
    • Florian, R.V.1
  • 22
    • 0037204104 scopus 로고    scopus 로고
    • Theta oscillations in the hippocampus
    • Buzsaki, G.: Theta oscillations in the hippocampus. Neuron 33 (2002) 325-340
    • (2002) Neuron , vol.33 , pp. 325-340
    • Buzsaki, G.1
  • 23
    • 3042523540 scopus 로고    scopus 로고
    • Neuronal oscillations in cortical networks
    • Buzsaki, G., Draguhn, A.: Neuronal oscillations in cortical networks. Science 304 (2004) 1926-1929
    • (2004) Science , vol.304 , pp. 1926-1929
    • Buzsaki, G.1    Draguhn, A.2
  • 24
    • 0031182938 scopus 로고    scopus 로고
    • Physiological gain leads to high ISI variability in a simple model of a cortical regular spiking cell
    • Troyer, T.W., Miller, K.D.: Physiological gain leads to high ISI variability in a simple model of a cortical regular spiking cell. Neural Computation 9 (1997) 971-983
    • (1997) Neural Computation , vol.9 , pp. 971-983
    • Troyer, T.W.1    Miller, K.D.2
  • 25
    • 0033667165 scopus 로고    scopus 로고
    • Synaptic plasticity: Taming the beast
    • Abbott, L.F., Nelson, S.B.: Synaptic plasticity: taming the beast. Nature Neuroscience 3 (2000) 1178-1183
    • (2000) Nature Neuroscience , vol.3 , pp. 1178-1183
    • Abbott, L.F.1    Nelson, S.B.2
  • 26
    • 0029816192 scopus 로고    scopus 로고
    • Population dynamics and theta rhythm phase precession of hippocampal place cell firing: A spiking neuron model
    • Tsodyks, M.V., Skaggs, W.E., Sejnowski, T.J., McNaughton, B.L.: Population dynamics and theta rhythm phase precession of hippocampal place cell firing: A spiking neuron model. Hippocampus 6 (1996) 271-280
    • (1996) Hippocampus , vol.6 , pp. 271-280
    • Tsodyks, M.V.1    Skaggs, W.E.2    Sejnowski, T.J.3    McNaughton, B.L.4
  • 27
    • 0037071865 scopus 로고    scopus 로고
    • Role of experience and oscillations in transforming a rate code into a temporal code
    • Mehta, M.R., Lee, A.K., Wilson, M.A.: Role of experience and oscillations in transforming a rate code into a temporal code. Nature 417 (2002) 741-746
    • (2002) Nature , vol.417 , pp. 741-746
    • Mehta, M.R.1    Lee, A.K.2    Wilson, M.A.3
  • 28
    • 0742323527 scopus 로고    scopus 로고
    • Homeostatic plasticity in the developing nervous system
    • Turrigiano, G.G., Nelson, S.B.: Homeostatic plasticity in the developing nervous system. Nature Reviews Neuroscience 5 (2004) 97-107
    • (2004) Nature Reviews Neuroscience , vol.5 , pp. 97-107
    • Turrigiano, G.G.1    Nelson, S.B.2
  • 30
    • 0027261536 scopus 로고
    • Phase relationship between hippocampal place units and the EEG theta rhythm
    • O'Keefe, J., Recce, M.L.: Phase relationship between hippocampal place units and the EEG theta rhythm. Hippocampus 3 (1993) 317-330
    • (1993) Hippocampus , vol.3 , pp. 317-330
    • O'Keefe, J.1    Recce, M.L.2
  • 31
    • 0033681558 scopus 로고    scopus 로고
    • Experience-dependent asymmetric shape of hippocampal receptive fields
    • Mehta, M.R., Quirk, M.C., Wilson, M.A.: Experience-dependent asymmetric shape of hippocampal receptive fields. Neuron 25 (2000) 707-715
    • (2000) Neuron , vol.25 , pp. 707-715
    • Mehta, M.R.1    Quirk, M.C.2    Wilson, M.A.3
  • 32
    • 27644444395 scopus 로고    scopus 로고
    • A learning rule for place fields in a cortical model: Theta phase precession as a network effect
    • Scarpetta, S., Marinaro, M.: A learning rule for place fields in a cortical model: Theta phase precession as a network effect. Hippocampus 15 (2005) 979-989
    • (2005) Hippocampus , vol.15 , pp. 979-989
    • Scarpetta, S.1    Marinaro, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.