메뉴 건너뛰기




Volumn 14, Issue 1-2, 2003, Pages 73-84

Spike-driven synaptic plasticity for learning correlated patterns of mean firing rates

Author keywords

Learning; Memory; Synaptic plasticity

Indexed keywords

CONFERENCE PAPER; LEARNING; MEMORY; NERVE CELL EXCITABILITY; NERVE CELL MEMBRANE STEADY POTENTIAL; NERVE CELL PLASTICITY; POSTSYNAPTIC MEMBRANE; PRIORITY JOURNAL; SPIKE WAVE; ACTION POTENTIAL; ANIMAL; HUMAN; NONLINEAR SYSTEM; PHYSIOLOGY; REVIEW; TIME;

EID: 0042832674     PISSN: 03341763     EISSN: None     Source Type: Journal    
DOI: 10.1515/REVNEURO.2003.14.1-2.73     Document Type: Conference Paper
Times cited : (22)

References (32)
  • 2
    • 0033667165 scopus 로고    scopus 로고
    • Synaptic plasticity: Taming the beast
    • Abott L, Nelson S. Synaptic plasticity: taming the beast. Nat Neurosci 2000; 3 (Suppl): 1178-1183.
    • (2000) Nat Neurosci , vol.3 , Issue.SUPPL. , pp. 1178-1183
    • Abott, L.1    Nelson, S.2
  • 3
    • 0001101723 scopus 로고
    • Dynamic learning in neural networks with material synapses
    • Amit DJ, Fusi S. Dynamic learning in neural networks with material synapses. Neural Comp 1994; 6: 957.
    • (1994) Neural Comp , vol.6 , pp. 957
    • Amit, D.J.1    Fusi, S.2
  • 4
    • 0037365642 scopus 로고    scopus 로고
    • Spike-driven synaptic dynamics generating working memory states
    • Amit DJ, Mongillo G. Spike-driven synaptic dynamics generating working memory states. Neural Comput 2003; 15: 565-596.
    • (2003) Neural Comput , vol.15 , pp. 565-596
    • Amit, D.J.1    Mongillo, G.2
  • 5
    • 0035380079 scopus 로고    scopus 로고
    • Attractor networks for shape recognition
    • Amit Y, Mascaro M. Attractor networks for shape recognition. Neural Comp 2001; 13: 1415-1442.
    • (2001) Neural Comp , vol.13 , pp. 1415-1442
    • Amit, Y.1    Mascaro, M.2
  • 6
    • 0020074887 scopus 로고
    • Theory for the development of neuron selectivity: Orientation specificity and binocular interaction in visual cortex
    • Bienenstock EL, Cooper LN, Munro PW. Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex. J Neurosci 1982; 2: 32-48.
    • (1982) J Neurosci , vol.2 , pp. 32-48
    • Bienenstock, E.L.1    Cooper, L.N.2    Munro, P.W.3
  • 7
    • 0000430986 scopus 로고
    • The perceptron: A model for brain functioning
    • Bloch H. The perceptron: a model for brain functioning. Rev Mod Phys 1962; 34: 123-135.
    • (1962) Rev Mod Phys , vol.34 , pp. 123-135
    • Bloch, H.1
  • 9
    • 0042255141 scopus 로고    scopus 로고
    • Slow stochastic Hebbian leaming of classes of stimuli in a recurrent neural network
    • Brunel N, Carusi F, Fusi S. Slow stochastic Hebbian leaming of classes of stimuli in a recurrent neural network. Network 1998; 9: 123-152.
    • (1998) Network , vol.9 , pp. 123-152
    • Brunel, N.1    Carusi, F.2    Fusi, S.3
  • 11
    • 0141947274 scopus 로고    scopus 로고
    • Modeling the formation of working memory with networks of integrate-and-fire neurons connected by plastic synapses
    • in press
    • Del Giudice P, Fusi S, Mattia M. Modeling the formation of working memory with networks of integrate-and-fire neurons connected by plastic synapses. J Physiol [Paris] 2003; in press.
    • (2003) J Physiol [Paris]
    • Del Giudice, P.1    Fusi, S.2    Mattia, M.3
  • 12
    • 0035384128 scopus 로고    scopus 로고
    • Long and short-term synaptic plasticity and the formation of working memory: A case study
    • Del Giudice P, Mattia M. Long and short-term synaptic plasticity and the formation of working memory: a case study. Neurocomputing 2001; 38-40: 1175-1180.
    • (2001) Neurocomputing , vol.38-40 , pp. 1175-1180
    • Del Giudice, P.1    Mattia, M.2
  • 13
    • 0000667731 scopus 로고
    • Learning correlated patterns in spin-glass networks by local learning rules
    • Diederich S, Opper M. Learning correlated patterns in spin-glass networks by local learning rules. Phys Rev Lett 1987; 58: 949-952.
    • (1987) Phys Rev Lett , vol.58 , pp. 949-952
    • Diederich, S.1    Opper, M.2
  • 14
    • 0040669525 scopus 로고    scopus 로고
    • Hebbian spike-driven synaptic plasticity for learning patterns of mean firing rates
    • Fusi S. Hebbian spike-driven synaptic plasticity for learning patterns of mean firing rates. Biol Cybem 2002; 87: 459-470.
    • (2002) Biol Cybem , vol.87 , pp. 459-470
    • Fusi, S.1
  • 15
    • 0034293117 scopus 로고    scopus 로고
    • Spike-driven synaptic plasticity: Theory, simulation, VLSI implementation
    • Fusi S, Annunziato M, Badoni D, Salamon A, Amit DJ. Spike-driven synaptic plasticity: theory, simulation, VLSI implementation. Neural Comp 2000; 12: 2227-2258.
    • (2000) Neural Comp , vol.12 , pp. 2227-2258
    • Fusi, S.1    Annunziato, M.2    Badoni, D.3    Salamon, A.4    Amit, D.J.5
  • 16
    • 0033110047 scopus 로고    scopus 로고
    • Collective behavior of networks with linear (VLSI) integrate-and-fire neurons
    • Fusi S, Mattia M. Collective behavior of networks with linear (VLSI) integrate-and-fire neurons. Neural Comp 1999; 11: 633-652.
    • (1999) Neural Comp , vol.11 , pp. 633-652
    • Fusi, S.1    Mattia, M.2
  • 18
    • 0035653423 scopus 로고    scopus 로고
    • Intrinsic stabilization of output firing rates by spike-based Hebbian learning
    • Kempter, R, Gerstner W, van Hemmen JL. Intrinsic stabilization of output firing rates by spike-based Hebbian learning. Neural Comp 2001; 13: 2709-2741.
    • (2001) Neural Comp , vol.13 , pp. 2709-2741
    • Kempter, R.1    Gerstner, W.2    Van Hemmen, J.L.3
  • 19
    • 0031012615 scopus 로고    scopus 로고
    • Regulation of synaptic efficacy by coincidence of postsynaptic APs and EPSPs
    • Markram H, Lubke J, Frotscher M, Sakmann B. Regulation of synaptic efficacy by coincidence of postsynaptic APs and EPSPs. Science 1997; 275: 213-215.
    • (1997) Science , vol.275 , pp. 213-215
    • Markram, H.1    Lubke, J.2    Frotscher, M.3    Sakmann, B.4
  • 20
    • 0029584368 scopus 로고
    • A model for long term potentiation and depression
    • Migliore M, Alicata F. A model for long term potentiation and depression. J Comp Neurosci 1995; 2: 335-343.
    • (1995) J Comp Neurosci , vol.2 , pp. 335-343
    • Migliore, M.1    Alicata, F.2
  • 22
    • 0141878136 scopus 로고    scopus 로고
    • Neocortical pyramidal cells respond to in vivo-like input currents like integrate-and-fire neurons
    • in press
    • Rauch A, La Camera G, Lüscher H-R, Senn W, Fusi S. Neocortical pyramidal cells respond to in vivo-like input currents like integrate-and-fire neurons. J Neurophysiol; in press.
    • J Neurophysiol
    • Rauch, A.1    La Camera, G.2    Lüscher, H.-R.3    Senn, W.4    Fusi, S.5
  • 23
    • 11144273669 scopus 로고
    • The perceptron: A probabilistic model for information storage and organization in the brain
    • Rosenblatt F. The perceptron: a probabilistic model for information storage and organization in the brain. Psychol Rev 1958; 65: 386-408.
    • (1958) Psychol Rev , vol.65 , pp. 386-408
    • Rosenblatt, F.1
  • 24
    • 18044404268 scopus 로고    scopus 로고
    • The equilibrium properties of temporally asymmetric Hebbian plasticity
    • Rubin J, Lee D, Sompolinsky H. The equilibrium properties of temporally asymmetric Hebbian plasticity. Phys Rev Lett 2001; 86: 364-367.
    • (2001) Phys Rev Lett , vol.86 , pp. 364-367
    • Rubin, J.1    Lee, D.2    Sompolinsky, H.3
  • 25
    • 0017745276 scopus 로고
    • Storing covariance with nonlinearly interacting neurons
    • Sejnowski TJ. Storing covariance with nonlinearly interacting neurons. J Math Biol 1977; 4: 303-321.
    • (1977) J Math Biol , vol.4 , pp. 303-321
    • Sejnowski, T.J.1
  • 26
    • 0012173905 scopus 로고    scopus 로고
    • Beyond spike-timing: The role of nonlinear plasticity and unreliable synapses
    • Senn W. Beyond spike-timing: the role of nonlinear plasticity and unreliable synapses. Hebb in Perspective: special issue of Biol Cybem 2002; 87: 344-355.
    • (2002) Hebb in Perspective: Special Issue of Biol Cybem , vol.87 , pp. 344-355
    • Senn, W.1
  • 27
    • 0141878135 scopus 로고    scopus 로고
    • Slow stochastic online learning with global inhibition solves the binary perceptron problem
    • Senn W, Fusi S. Slow stochastic online learning with global inhibition solves the binary perceptron problem. CNS*2003 Proceedings.
    • CNS*2003 Proceedings
    • Senn, W.1    Fusi, S.2
  • 28
    • 0035221593 scopus 로고    scopus 로고
    • An algorithm for modifying neurotransmitter release probability based on pre- and post-synaptic spike timing
    • Senn W, Markram H, Tsodyks M. An algorithm for modifying neurotransmitter release probability based on pre- and post-synaptic spike timing. Neural Comp 2001; 13: 35-68.
    • (2001) Neural Comp , vol.13 , pp. 35-68
    • Senn, W.1    Markram, H.2    Tsodyks, M.3
  • 29
    • 0036678999 scopus 로고    scopus 로고
    • A unified model of NMDA receptor-dependent bidirectional synaptic plasticity
    • Shouval HZ, Bear MF, Cooper LN. A unified model of NMDA receptor-dependent bidirectional synaptic plasticity. Proc Natl Acad Sci USA 2002; 99: 10831-10836.
    • (2002) Proc Natl Acad Sci USA , vol.99 , pp. 10831-10836
    • Shouval, H.Z.1    Bear, M.F.2    Cooper, L.N.3
  • 30
    • 0035924588 scopus 로고    scopus 로고
    • Rate, timing and cooperativity jointly determine cortical synaptic plasticity
    • Sjöström PJ, Turrigiano GG, Nelson SB. Rate, timing and cooperativity jointly determine cortical synaptic plasticity. Neuron 2001; 32: 1149-1164.
    • (2001) Neuron , vol.32 , pp. 1149-1164
    • Sjöström, P.J.1    Turrigiano, G.G.2    Nelson, S.B.3
  • 32
    • 0034551719 scopus 로고    scopus 로고
    • Stable Hebbian leaming from spike timing-dependent plasticity
    • van Rossum MCW, Bi GQ, Turrigiano GG. Stable Hebbian leaming from spike timing-dependent plasticity. J Neurosci 2000; 20: 8812-8821.
    • (2000) J Neurosci , vol.20 , pp. 8812-8821
    • Van Rossum, M.C.W.1    Bi, G.Q.2    Turrigiano, G.G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.