메뉴 건너뛰기




Volumn 87, Issue 5-6, 2002, Pages 459-470

Hebbian spike-driven synaptic plasticity for learning patterns of mean firing rates

Author keywords

[No Author keywords available]

Indexed keywords

ACTION POTENTIAL; ANIMAL; ARTICLE; CYTOLOGY; LEARNING; MATHEMATICS; MEMORY; NERVE CELL; NERVE CELL NETWORK; NERVE CELL PLASTICITY; PHYSIOLOGY; SYNAPSE; TIME;

EID: 0040669525     PISSN: 03401200     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00422-002-0356-8     Document Type: Article
Times cited : (111)

References (46)
  • 2
    • 0029557159 scopus 로고
    • The Hebbian paradigm reintegrated: Local reverberations as internal representations
    • Amit DJ (1995) The Hebbian paradigm reintegrated: local reverberations as internal representations. Behav Brain Sci 18: 617-657
    • (1995) Behav Brain Sci , vol.18 , pp. 617-657
    • Amit, D.J.1
  • 3
    • 0030947941 scopus 로고    scopus 로고
    • Model of global spontaneous activity and local structured (learned) delay activity in cortex
    • Amit DJ, Brunel N (1997a) Model of global spontaneous activity and local structured (learned) delay activity in cortex. Cereb Cortex 7: 237-252
    • (1997) Cereb Cortex , vol.7 , pp. 237-252
    • Amit, D.J.1    Brunel, N.2
  • 4
    • 0000438415 scopus 로고    scopus 로고
    • Dynamics of a recurrent network of spiking neurons before and following learning
    • Amit DJ, Brunel N (1997b) Dynamics of a recurrent network of spiking neurons before and following learning. Network 8: 373-404
    • (1997) Network , vol.8 , pp. 373-404
    • Amit, D.J.1    Brunel, N.2
  • 5
    • 0038927224 scopus 로고
    • Constraints on learning in dynamic synapses
    • Amit DJ, Fusi S (1992) Constraints on learning in dynamic synapses. Network 3: 443
    • (1992) Network , vol.3 , pp. 443
    • Amit, D.J.1    Fusi, S.2
  • 6
    • 0001101723 scopus 로고
    • Dynamic Learning in neural networks with material synapses
    • Amit DJ, Fusi S (1994) Dynamic Learning in neural networks with material synapses. Neural Comput 6: 957
    • (1994) Neural Comput , vol.6 , pp. 957
    • Amit, D.J.1    Fusi, S.2
  • 7
    • 84902201964 scopus 로고    scopus 로고
    • Spike-driven synaptic dynamics generating working memory states, neural computation
    • in press
    • Amit DJ, Mongillo G (2002) Spike-driven synaptic dynamics generating working memory states, neural computation. Neural Comput (in press)
    • (2002) Neural Comput
    • Amit, D.J.1    Mongillo, G.2
  • 9
    • 0001209214 scopus 로고
    • Electronic implementation of a stochastic learning attractor neural network
    • Badoni D, Bertazzoni S, Buglioni S, Salina G, Amit DJ, Fusi S (1995) Electronic implementation of a stochastic learning attractor neural network. Network 6: 125-157
    • (1995) Network , vol.6 , pp. 125-157
    • Badoni, D.1    Bertazzoni, S.2    Buglioni, S.3    Salina, G.4    Amit, D.J.5    Fusi, S.6
  • 10
    • 0006451307 scopus 로고
    • Learning in neural networks with partially structured synaptic transitions
    • Battaglia FP, Fusi S (1995) Learning in neural networks with partially structured synaptic transitions. Network 6: 261
    • (1995) Network , vol.6 , pp. 261
    • Battaglia, F.P.1    Fusi, S.2
  • 11
    • 0027476024 scopus 로고
    • A synaptic model of memory: Long term potentiation in the hippocampus
    • Bliss TVP, Collingridge GL (1993) A synaptic model of memory: long term potentiation in the hippocampus Nature 361: 31-39
    • (1993) Nature , vol.361 , pp. 31-39
    • Bliss, T.V.P.1    Collingridge, G.L.2
  • 12
    • 0034006515 scopus 로고    scopus 로고
    • Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons
    • Brunel (2000) Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons. J Comput Neurosci 8: 183-208
    • (2000) J Comput Neurosci , vol.8 , pp. 183-208
  • 13
    • 0042255141 scopus 로고    scopus 로고
    • Slow stochastic Hebbian learning of classes of stimuli in a recurrent neural network
    • Brunel N, Carusi F, Fusi S (1998) Slow stochastic Hebbian learning of classes of stimuli in a recurrent neural network. Network 9: 123-152
    • (1998) Network , vol.9 , pp. 123-152
    • Brunel, N.1    Carusi, F.2    Fusi, S.3
  • 14
    • 0040783559 scopus 로고    scopus 로고
    • Stochastic synaptic plasticity in deterministic aVLSI networks of spiking neurons
    • Rattay F (ed) Vienna, Austria, 24-29 September
    • Chicca E, Fusi S (2001) Stochastic synaptic plasticity in deterministic aVLSI networks of spiking neurons. In: Rattay F (ed) Proceedings of the World Congress on Neuroinformatics, Vienna, Austria, 24-29 September, pp 468-477
    • (2001) Proceedings of the World Congress on Neuroinformatics , pp. 468-477
    • Chicca, E.1    Fusi, S.2
  • 15
    • 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 (2001) Long and short-term synaptic plasticity and the formation of working memory: a case study. Neurocomputing 38: 1175-1180
    • (2001) Neurocomputing , vol.38 , pp. 1175-1180
    • Del Giudice, P.1    Mattia, M.2
  • 16
    • 26444499682 scopus 로고    scopus 로고
    • Learning attractors in an asynchronous, stochastic electronic neural network
    • Del Giudice P, Fusi S, Badoni D, Dante V, Amit DJ (1998) Learning attractors in an asynchronous, stochastic electronic neural network. Network 9: 183-205
    • (1998) Network , vol.9 , pp. 183-205
    • Del Giudice, P.1    Fusi, S.2    Badoni, D.3    Dante, V.4    Amit, D.J.5
  • 17
    • 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 (2002) Modeling the formation of working memory with networks of integrate-and-fire neurons connected by plastic synapses. J Physiol (Paris) (in press)
    • (2002) J Physiol (Paris)
    • Del Giudice, P.1    Fusi, S.2    Mattia, M.3
  • 18
    • 0040783557 scopus 로고
    • Prototype extraction in material attractor neural networks with stochastic dynamic learning
    • Rogers SK, Ruck DW (eds) Orlando, Fla.
    • Fusi S (1995) Prototype extraction in material attractor neural networks with stochastic dynamic learning. In: Rogers SK, Ruck DW (eds) Proceedings of SPIE 95, Orlando, Fla., pp 1027-1038
    • (1995) Proceedings of SPIE 95 , pp. 1027-1038
    • Fusi, S.1
  • 19
    • 0035384117 scopus 로고    scopus 로고
    • Long term memory: Encoding and storing strategies of the brain
    • Fusi S (2001) Long term memory: encoding and storing strategies of the brain. Neurocomputing 38: 1223-1228
    • (2001) Neurocomputing , vol.38 , pp. 1223-1228
    • Fusi, S.1
  • 20
    • 84902165945 scopus 로고    scopus 로고
    • Spike-driven synaptic plasticity for learning correlated patterns of asynchronous activity
    • Dorronsoro JR (ed) Springer, Berlin Heidelberg New York
    • Fusi S (2002) Spike-driven synaptic plasticity for learning correlated patterns of asynchronous activity. In: Dorronsoro JR (ed) Proceedings of ICANN2002, Madrid, Spain, 27-30 August. (Lecture notes in computer science) Springer, Berlin Heidelberg New York
    • (2002) Proceedings of ICANN2002, Madrid, Spain, 27-30 August. (Lecture Notes in Computer Science)
    • Fusi, S.1
  • 21
    • 0033110047 scopus 로고    scopus 로고
    • Collective behavior of networks with linear (VLSI) integrate-and-fire neurons
    • Fusi S, Mattia M (1999) Collective behavior of networks with linear (VLSI) integrate-and-fire neurons. Neural Comput 11: 643-662
    • (1999) Neural Comput , vol.11 , pp. 643-662
    • Fusi, S.1    Mattia, M.2
  • 22
    • 0034293117 scopus 로고    scopus 로고
    • Spike-driven synaptic plasticity: Theory, simulation, VLSI implementation
    • Fusi S, Annunziato M, Badoni D, Salamon A, Amit DJ (2000a) Spike-driven synaptic plasticity: theory, simulation, VLSI implementation. Neural Comput 12: 2227-2258
    • (2000) Neural Comput , vol.12 , pp. 2227-2258
    • Fusi, S.1    Annunziato, M.2    Badoni, D.3    Salamon, A.4    Amit, D.J.5
  • 26
    • 0000071615 scopus 로고
    • Learning processes in neural networks
    • Heskes TM, Kappen B (1991) Learning processes in neural networks. Phys Rev A 44: 2718
    • (1991) Phys Rev A , vol.44 , pp. 2718
    • Heskes, T.M.1    Kappen, B.2
  • 27
    • 0020118274 scopus 로고
    • Neural networks and physical systems with emergent selective computational abilities
    • Hopfield JJ (1982) Neural networks and physical systems with emergent selective computational abilities. Proc Natl Acad Sci USA 79: 2554
    • (1982) Proc Natl Acad Sci USA , vol.79 , pp. 2554
    • Hopfield, J.J.1
  • 28
    • 0040189049 scopus 로고
    • A memory model with novel behaviour in sequential learning
    • Kahn PE, Wong KYM, Sherrington D (1995) A memory model with novel behaviour in sequential learning. Network 6: 415-427
    • (1995) Network , vol.6 , pp. 415-427
    • Kahn, P.E.1    Wong, K.Y.M.2    Sherrington, D.3
  • 29
    • 0006986204 scopus 로고    scopus 로고
    • Stochastic learning in a neural network with adapting synapses
    • Lattanzi G, Nardulli G, Pasquariello G, Stramaglia S (1997) Stochastic learning in a neural network with adapting synapses. Phys Rev E 56: 4567-4573
    • (1997) Phys Rev E , vol.56 , pp. 4567-4573
    • Lattanzi, G.1    Nardulli, G.2    Pasquariello, G.3    Stramaglia, S.4
  • 30
    • 0031012615 scopus 로고    scopus 로고
    • Regulation of synaptic efficacy by coincidence of postsynaptic APs and EPSPs
    • Markram H, Lubke J, Frotscher M, Sakmann B (1997) Regulation of synaptic efficacy by coincidence of postsynaptic APs and EPSPs. Science 275: 213-215
    • (1997) Science , vol.275 , pp. 213-215
    • Markram, H.1    Lubke, J.2    Frotscher, M.3    Sakmann, B.4
  • 31
    • 0027475452 scopus 로고
    • Inferior temporal cortex: Where visual perception meets memory
    • Miyashita Y (1993) Inferior temporal cortex: where visual perception meets memory. Annu Rev Neurosci 16: 245-263
    • (1993) Annu Rev Neurosci , vol.16 , pp. 245-263
    • Miyashita, Y.1
  • 32
    • 0034081511 scopus 로고    scopus 로고
    • Neural representation of visual objects: Encoding and top-down activation
    • Miyashita Y, Toshirio H (2000) Neural representation of visual objects: encoding and top-down activation. Curr Opin Neurobiol 10: 187-194
    • (2000) Curr Opin Neurobiol , vol.10 , pp. 187-194
    • Miyashita, Y.1    Toshirio, H.2
  • 34
    • 36149035600 scopus 로고
    • A memory which forgets
    • Parisi G (1986) A memory which forgets. J Phys A Math Gen 19: L617
    • (1986) J Phys A Math Gen , vol.19
    • Parisi, G.1
  • 37
    • 0012173905 scopus 로고    scopus 로고
    • Beyond spike timing: The role of nonlinear plasticity and unreliable synapses
    • Senn W (2002) Beyond spike timing: the role of nonlinear plasticity and unreliable synapses. Biol Cybern 87: 344-355
    • (2002) Biol Cybern , vol.87 , pp. 344-355
    • Senn, W.1
  • 38
    • 0017745276 scopus 로고
    • Storing covariance with nonlinearly interacting neurons
    • Sejnowski TJ (1977) Storing covariance with nonlinearly interacting neurons. J Math Biol 4: 303
    • (1977) J Math Biol , vol.4 , pp. 303
    • Sejnowski, T.J.1
  • 39
    • 0004225404 scopus 로고
    • Springer, Berlin Heidelberg New York
    • Shiryaev AN (1984) Probability. Springer, Berlin Heidelberg New York
    • (1984) Probability
    • Shiryaev, A.N.1
  • 40
    • 0035924588 scopus 로고    scopus 로고
    • Rate, timing and cooperativity jointly determine cortical synaptic plasticity
    • Sjöström PJ, Turrigiano GG, Nelson SB (2001) Rate, timing and cooperativity jointly determine cortical synaptic plasticity. Neuron 32: 1149-1164
    • (2001) Neuron , vol.32 , pp. 1149-1164
    • Sjöström, P.J.1    Turrigiano, G.G.2    Nelson, S.B.3
  • 41
    • 0027498486 scopus 로고
    • The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs
    • Softky WR, Koch C (1993) The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs. J Neurosci 1: 334-350
    • (1993) J Neurosci , vol.1 , pp. 334-350
    • Softky, W.R.1    Koch, C.2
  • 43
    • 0029835892 scopus 로고    scopus 로고
    • Chaos in neural networks with balanced excitatory and inhibitory activity
    • Vreeswijk CA van, Sompolinsky H (1996) Chaos in neural networks with balanced excitatory and inhibitory activity. Science 274: 1724-1726
    • (1996) Science , vol.274 , pp. 1724-1726
    • Van Vreeswijk, C.A.1    Sompolinsky, H.2
  • 44
    • 0035426435 scopus 로고    scopus 로고
    • Synaptic reverberation underlying mnemonic persistent activity
    • Wang XJ (2001) Synaptic reverberation underlying mnemonic persistent activity. Trends Neurosci 24: 455-463
    • (2001) Trends Neurosci , vol.24 , pp. 455-463
    • Wang, X.J.1
  • 45
    • 33644686010 scopus 로고    scopus 로고
    • Inter-trial neuronal activity in infero-temporal cortex: A putative vehicle to generate long term associations
    • Yakovlev V, Fusi S, Berman E, Zohary E (1998) Inter-trial neuronal activity in infero-temporal cortex: a putative vehicle to generate long term associations. Nat Neurosci 1: 310-331
    • (1998) Nat Neurosci , vol.1 , pp. 310-331
    • Yakovlev, V.1    Fusi, S.2    Berman, E.3    Zohary, E.4
  • 46
    • 0032480332 scopus 로고    scopus 로고
    • A critical window for cooperation and competition among developing retinotectal synapses
    • Zhang LI, Tao HW, Holt CE, Harris WA, Poo M (1998) A critical window for cooperation and competition among developing retinotectal synapses. Nature 395: 37-44
    • (1998) Nature , vol.395 , pp. 37-44
    • Zhang, L.I.1    Tao, H.W.2    Holt, C.E.3    Harris, W.A.4    Poo, M.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.