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Volumn 19, Issue 2, 2007, Pages 371-403

Reducing the variability of neural responses: A computational theory of spike-timing-dependent plasticity

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EID: 33847336412     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/neco.2007.19.2.371     Document Type: Article
Times cited : (25)

References (48)
  • 1
    • 85039188880 scopus 로고    scopus 로고
    • Abbott, L., & Gerstner, W. (2004). Homeostasis and learning through spike-timing dependent plasticity. In D. Hansel, C. Chow, B. Gutkin, & C. Meunier (Eds.), Methods and models in neurophysics. In Proceedings of the Les Hauches Summer School 2003. Amsterdam: Elsevier.
    • Abbott, L., & Gerstner, W. (2004). Homeostasis and learning through spike-timing dependent plasticity. In D. Hansel, C. Chow, B. Gutkin, & C. Meunier (Eds.), Methods and models in neurophysics. In Proceedings of the Les Hauches Summer School 2003. Amsterdam: Elsevier.
  • 2
    • 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. (1997). Synaptic plasticity in a cerebellum-like structure depends on temporal order. Nature., 387, 278-281.
    • (1997) Nature , vol.387 , pp. 278-281
    • Bell, C.C.1    Han, V.Z.2    Sugawara, Y.3    Grant, K.4
  • 3
    • 84898957456 scopus 로고    scopus 로고
    • Maximising sensitivity in a spiking network
    • L. Saul, Y. Weiss, & L. Bottou Eds, Cambridge, MA: MIT Press
    • Bell, A., & Parra, L. (2005). Maximising sensitivity in a spiking network. In L. Saul, Y. Weiss, & L. Bottou (Eds.), Advances in neural information processing systems, 17 (pp. 121-128). Cambridge, MA: MIT Press.
    • (2005) Advances in neural information processing systems , vol.17 , pp. 121-128
    • Bell, A.1    Parra, L.2
  • 4
    • 0038891578 scopus 로고    scopus 로고
    • Spatiotemporal specificity of synaptic plasticity: Cellular rules and mechanisms
    • Bi, G.-Q. (2002). Spatiotemporal specificity of synaptic plasticity: Cellular rules and mechanisms. Biol. Cybern., 87, 319-332.
    • (2002) Biol. Cybern , vol.87 , pp. 319-332
    • Bi, G.-Q.1
  • 5
    • 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. (1998). Synaptic modifications in cultured hippocampal neurons: Dependence on spike timing, synaptic strength, and postsynaptic cell type. J. Neurosci., 18(24), 10464-10472.
    • (1998) J. Neurosci , vol.18 , Issue.24 , pp. 10464-10472
    • Bi, G.-Q.1    Poo, M.-M.2
  • 6
    • 0034928712 scopus 로고    scopus 로고
    • Synaptic modification by correlated activity: Hebb's postulate revisited
    • Bi, G.-Q., & Poo, M.-M. (2001). Synaptic modification by correlated activity: Hebb's postulate revisited. Ann. Rev. Neurosci., 24, 139-166.
    • (2001) Ann. Rev. Neurosci , vol.24 , pp. 139-166
    • Bi, G.-Q.1    Poo, M.-M.2
  • 7
    • 1842783804 scopus 로고    scopus 로고
    • Spike timing-dependent plasticity: The relationship to rate-based learning for models with weight dynamics determined by a stable fixed-point
    • Burkitt, A., Meffin, H., & Grayden, D. (2004). Spike timing-dependent plasticity: The relationship to rate-based learning for models with weight dynamics determined by a stable fixed-point. Neural Computation, 16(5), 885-940.
    • (2004) Neural Computation , vol.16 , Issue.5 , pp. 885-940
    • Burkitt, A.1    Meffin, H.2    Grayden, D.3
  • 8
    • 0037822252 scopus 로고    scopus 로고
    • Spike-timing-dependent plascticity and relevant mutual information maximization
    • Chechik, C. (2003). Spike-timing-dependent plascticity and relevant mutual information maximization. Neural Computation, 15, 1481-1510.
    • (2003) Neural Computation , vol.15 , pp. 1481-1510
    • Chechik, C.1
  • 9
    • 5344240347 scopus 로고    scopus 로고
    • Spike timing-dependent plasticity of neural circuits
    • Dan, Y., & Poo, M.-M. (2004). Spike timing-dependent plasticity of neural circuits. Neuron, 44, 23-30.
    • (2004) Neuron , vol.44 , pp. 23-30
    • Dan, Y.1    Poo, M.-M.2
  • 11
    • 33646821022 scopus 로고    scopus 로고
    • Plasticity kernels and temporal statistics
    • S. Thrun, L. Saul, & B. Schölkopf Eds, Cambridge, MA: MIT Press
    • Dayan, P., & Häusser, M. (2004). Plasticity kernels and temporal statistics. In S. Thrun, L. Saul, & B. Schölkopf (Eds.), Advances in neural information processing systems, 16. Cambridge, MA: MIT Press.
    • (2004) Advances in neural information processing systems , vol.16
    • Dayan, P.1    Häusser, M.2
  • 12
    • 2642677679 scopus 로고    scopus 로고
    • Long-term synaptic plasticity between pairs of individual CA3 pyramidal cells in rat hippocampal slice cultures
    • Debanne, D., Gähwiler, B., & Thompson, S. (1998). Long-term synaptic plasticity between pairs of individual CA3 pyramidal cells in rat hippocampal slice cultures. J. Physiol., 507, 237-247.
    • (1998) J. Physiol , vol.507 , pp. 237-247
    • Debanne, D.1    Gähwiler, B.2    Thompson, S.3
  • 13
    • 0033662413 scopus 로고    scopus 로고
    • Timing-based LTP and LTD at vertical inputs to layer II/III pyramidal cells in rat barrel cortex
    • Feldman, D. (2000). Timing-based LTP and LTD at vertical inputs to layer II/III pyramidal cells in rat barrel cortex. Neuron, 27, 45-56.
    • (2000) Neuron , vol.27 , pp. 45-56
    • Feldman, D.1
  • 14
    • 0037187567 scopus 로고    scopus 로고
    • Spike-timing-dependent synaptic modification induced by natural spike trains
    • Froemke, R., & Dan, Y. (2002). Spike-timing-dependent synaptic modification induced by natural spike trains. Nature, 416, 433-438.
    • (2002) Nature , vol.416 , pp. 433-438
    • Froemke, R.1    Dan, Y.2
  • 15
    • 77956761866 scopus 로고    scopus 로고
    • A framework for spiking neuron models: The spike response model
    • F. Moss & S. Gielen Eds, Amsterdam: Elsevier
    • Gerstner, W. (2001). A framework for spiking neuron models: The spike response model. In F. Moss & S. Gielen (Eds.), The handbook of biological physics, (vol 4, pp. 469-516). Amsterdam: Elsevier.
    • (2001) The handbook of biological physics , vol.4 , pp. 469-516
    • Gerstner, W.1
  • 16
    • 0029821128 scopus 로고    scopus 로고
    • A neural learning rule for sub-millisecond temporal coding
    • Gerstner, W., Kempter, R., van Hemmen, J. L., & Wagner, H. (1996). A neural learning rule for sub-millisecond temporal coding. Nature, 383, 76-78.
    • (1996) Nature , vol.383 , pp. 76-78
    • Gerstner, W.1    Kempter, R.2    van Hemmen, J.L.3    Wagner, H.4
  • 18
    • 0034702306 scopus 로고    scopus 로고
    • Digital selection and analogue amplification coexist in a cortex-inspired silicon circuit
    • Hahnloser, R. H. R., Sarpeshkar, R., Mahowald, M. A., Douglas, R. J., & Seung, H. S. (2000). Digital selection and analogue amplification coexist in a cortex-inspired silicon circuit. Nature, 405, 947-951.
    • (2000) Nature , vol.405 , pp. 947-951
    • Hahnloser, R.H.R.1    Sarpeshkar, R.2    Mahowald, M.A.3    Douglas, R.J.4    Seung, H.S.5
  • 19
    • 33847325154 scopus 로고
    • Algorithm 84: Simpson's integration
    • Hennion, P. E. (1962). Algorithm 84: Simpson's integration. Communications of the ACM, 5(4), 208.
    • (1962) Communications of the ACM , vol.5 , Issue.4 , pp. 208
    • Hennion, P.E.1
  • 20
    • 0035680305 scopus 로고    scopus 로고
    • Noise and the PSTH response to current transients: I. General theory and application to the integrate-and-fire neuron
    • Herrmann, A., & Gerstner, W. (2001). Noise and the PSTH response to current transients: I. General theory and application to the integrate-and-fire neuron. J. Camp. Neurosci., 11, 135-151.
    • (2001) J. Camp. Neurosci , vol.11 , pp. 135-151
    • Herrmann, A.1    Gerstner, W.2
  • 21
    • 0345827561 scopus 로고    scopus 로고
    • Learning rules and network repair in spike-timing-based computation
    • Hopfield, J., & Brody, C. (2004). Learning rules and network repair in spike-timing-based computation. PNAS, 101(1), 337-342.
    • (2004) PNAS , vol.101 , Issue.1 , pp. 337-342
    • Hopfield, J.1    Brody, C.2
  • 23
    • 35248819696 scopus 로고    scopus 로고
    • The spike response model: A framework to predict neuronal spike trains
    • O. Kaynak, E. Alpaydin, E. Oja, & L. Yu Eds, Berlin: Springer
    • Jolivet, R., Lewis, T., & Gerstner, W. (2003). The spike response model: A framework to predict neuronal spike trains. In O. Kaynak, E. Alpaydin, E. Oja, & L. Yu (Eds.), Proc. Joint International Conference. ICANN/ICONIP 2003 (pp. 846-853). Berlin: Springer.
    • (2003) Proc. Joint International Conference. ICANN/ICONIP 2003 , pp. 846-853
    • Jolivet, R.1    Lewis, T.2    Gerstner, W.3
  • 25
    • 0040075938 scopus 로고    scopus 로고
    • Mechanisms and significance of spike-timing dependent plasticity
    • Karmarkar, U., Najarian, M., & Buonomano, D. (2002). Mechanisms and significance of spike-timing dependent plasticity. Biol. Cybern., 87, 373-382.
    • (2002) Biol. Cybern , vol.87 , pp. 373-382
    • Karmarkar, U.1    Najarian, M.2    Buonomano, D.3
  • 26
    • 0000442118 scopus 로고    scopus 로고
    • Hebbian learning and spiking neurons
    • Kempter, R., Gerstner, W., & van Hemmen, J. (1999). Hebbian learning and spiking neurons. Phys. Rev. E, 59(4), 4498-4514.
    • (1999) Phys. Rev. E , vol.59 , Issue.4 , pp. 4498-4514
    • Kempter, R.1    Gerstner, W.2    van Hemmen, J.3
  • 27
    • 0035653423 scopus 로고    scopus 로고
    • Intrinsic stabilization of output rates by spike-based Hebbian learning
    • Kempter, R., Gerstner, W., & van Hemmen, J. (2001). Intrinsic stabilization of output rates by spike-based Hebbian learning. Neural Computation, 13, 2709-2742.
    • (2001) Neural Computation , vol.13 , pp. 2709-2742
    • Kempter, R.1    Gerstner, W.2    van Hemmen, J.3
  • 28
    • 0039484217 scopus 로고    scopus 로고
    • Spike-timing-dependent plasticity: Common themes and divergent vistas
    • Kepecs, A., van Rossum, M., Song, S., & Tegner, J. (2002). Spike-timing-dependent plasticity: Common themes and divergent vistas. Biol. Cybern., 87, 446-458.
    • (2002) Biol. Cybern , vol.87 , pp. 446-458
    • Kepecs, A.1    van Rossum, M.2    Song, S.3    Tegner, J.4
  • 30
    • 0000353243 scopus 로고
    • How to generate ordered maps by maximizing the mutual information between input and output signals
    • Linsker, R. (1989). How to generate ordered maps by maximizing the mutual information between input and output signals. Neural Computation, 1, 402-411.
    • (1989) Neural Computation , vol.1 , pp. 402-411
    • Linsker, R.1
  • 31
    • 0031012615 scopus 로고    scopus 로고
    • Regulation of synaptic efficacy by coincidence of postsynaptic APS and EPSPS
    • Markram, H., Lübke, 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    Lübke, J.2    Frotscher, M.3    Sakmann, B.4
  • 32
    • 0034735785 scopus 로고    scopus 로고
    • Calcium stores regulate the polarity and input specificity of synaptic modification
    • Nishiyama, M., Hong, K., Mikoshiba, K., Poo, M.-M., & Kato, K. (2000). Calcium stores regulate the polarity and input specificity of synaptic modification. Nature, 408, 584-588.
    • (2000) Nature , vol.408 , pp. 584-588
    • Nishiyama, M.1    Hong, K.2    Mikoshiba, K.3    Poo, M.-M.4    Kato, K.5
  • 33
    • 18144381247 scopus 로고    scopus 로고
    • Comparing integrate-and-fire models estimated using intracellular and extracellular data
    • Paninski, L., Pillow, J., & Simoncelli, E. (2005). Comparing integrate-and-fire models estimated using intracellular and extracellular data. Neurocomputing, 65-66, 379-385.
    • (2005) Neurocomputing , vol.65-66 , pp. 379-385
    • Paninski, L.1    Pillow, J.2    Simoncelli, E.3
  • 34
    • 33646801243 scopus 로고    scopus 로고
    • Optimal spike-timing dependent plasticity for precise action potential firing
    • Pfister, J.-P., Toyoizumi, T., Barber, D., & Gerstner, W. (2006). Optimal spike-timing dependent plasticity for precise action potential firing. Neural Computation, 18, 1318-1348.
    • (2006) Neural Computation , vol.18 , pp. 1318-1348
    • Pfister, J.-P.1    Toyoizumi, T.2    Barber, D.3    Gerstner, W.4
  • 35
    • 0037686661 scopus 로고    scopus 로고
    • Isotropic sequence order learning
    • Porr, B., & Wörgötter, F. (2003). Isotropic sequence order learning. Neural Computation, 15(4), 831-864.
    • (2003) Neural Computation , vol.15 , Issue.4 , pp. 831-864
    • Porr, B.1    Wörgötter, F.2
  • 36
    • 74549192405 scopus 로고    scopus 로고
    • Predictive sequence learning in recurrent neocortical circuits
    • S. A. Solla, T. K. Leen, & K. Müller Eds, Cambridge, MA: MIT Press
    • Rao, R., & Sejnowski, T. (1999). Predictive sequence learning in recurrent neocortical circuits. In S. A. Solla, T. K. Leen, & K. Müller (Eds.), Advances in neural information processing systems, 12 (pp. 164-170). Cambridge, MA: MIT Press.
    • (1999) Advances in neural information processing systems , vol.12 , pp. 164-170
    • Rao, R.1    Sejnowski, T.2
  • 37
    • 0035489925 scopus 로고    scopus 로고
    • Spike-timing-dependent plasticity as temporal difference learning
    • Rao, R., & Sejnowski, T. (2001). Spike-timing-dependent plasticity as temporal difference learning. Neural Computation, 13, 2221-2237.
    • (2001) Neural Computation , vol.13 , pp. 2221-2237
    • Rao, R.1    Sejnowski, T.2
  • 38
    • 0039484223 scopus 로고    scopus 로고
    • Spike timing dependent synaptic plasticity in biological systems
    • Roberts, P., & Bell, C. (2002). Spike timing dependent synaptic plasticity in biological systems. Biol. Cybern., 87, 392-403.
    • (2002) Biol. Cybern , vol.87 , pp. 392-403
    • Roberts, P.1    Bell, C.2
  • 39
    • 0742324114 scopus 로고    scopus 로고
    • How the shape of pre- and postsynaptic signals can influence STOP: A biophysical model
    • Saudargiene, A., Porr, B., & Wörgötter, F. (2004). How the shape of pre- and postsynaptic signals can influence STOP: A biophysical model. Neural Computation, 16, 595-625.
    • (2004) Neural Computation , vol.16 , pp. 595-625
    • Saudargiene, A.1    Porr, B.2    Wörgötter, F.3
  • 40
    • 0035221593 scopus 로고    scopus 로고
    • An algorithm for modifying neurotransmitter release probability based on pre- and postsynaptic spike timing
    • Senn, W., Markram, H., & Tsodyks, M. (2000). An algorithm for modifying neurotransmitter release probability based on pre- and postsynaptic spike timing. Neural Computation, 13, 35-67.
    • (2000) Neural Computation , vol.13 , pp. 35-67
    • Senn, W.1    Markram, H.2    Tsodyks, M.3
  • 41
    • 4444321350 scopus 로고    scopus 로고
    • Motion detection and prediction through spike-timing dependent plasticity
    • Shon, A., Rao, R., & Sejnowski, T. (2004). Motion detection and prediction through spike-timing dependent plasticity. Network: Comput. Neural Syst., 15, 179-198.
    • (2004) Network: Comput. Neural Syst , vol.15 , pp. 179-198
    • Shon, A.1    Rao, R.2    Sejnowski, T.3
  • 42
    • 0035924588 scopus 로고    scopus 로고
    • Rate, timing, and cooperativity jointly determine cortical synpatic plasticity
    • Sjöström, P., Turrigiano, G., & Nelson, S. (2001). Rate, timing, and cooperativity jointly determine cortical synpatic plasticity. Neuron, 32, 1149-1164.
    • (2001) Neuron , vol.32 , pp. 1149-1164
    • Sjöström, P.1    Turrigiano, G.2    Nelson, S.3
  • 43
    • 0033860923 scopus 로고    scopus 로고
    • Competitive Hebbian learning through spiketime -dependent synaptic plasticity
    • Song, S., Miller, K., & Abbott, L. (2000). Competitive Hebbian learning through spiketime -dependent synaptic plasticity. Nature Neuroscience, 3, 919-926.
    • (2000) Nature Neuroscience , vol.3 , pp. 919-926
    • Song, S.1    Miller, K.2    Abbott, L.3
  • 44
    • 18044383304 scopus 로고    scopus 로고
    • Highly non-random features of synaptic connectivity in local cortical circuits
    • Song, S., Sjöström, P. J., Reigl, M., Nelson, S., & Chklovskii, D. B. (2005). Highly non-random features of synaptic connectivity in local cortical circuits. PLoS Biology, 3(3), e68.
    • (2005) PLoS Biology , vol.3 , Issue.3
    • Song, S.1    Sjöström, P.J.2    Reigl, M.3    Nelson, S.4    Chklovskii, D.B.5
  • 45
    • 84898963738 scopus 로고    scopus 로고
    • Spike-timing dependent plasticity and mutual information maximization for a spiking neuron model
    • L. Saul, Y. Weiss, & L. Bottou Eds, Cambridge, MA: MIT Press
    • Toyoizumi, T., Pfister, J.-P., Aihara, K., & Gerstner, W. (2005). Spike-timing dependent plasticity and mutual information maximization for a spiking neuron model. In L. Saul, Y. Weiss, & L. Bottou (Eds.), Advances in neural information processing systems, 17 (pp. 1409-1416). Cambridge, MA: MIT Press.
    • (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
  • 46
    • 0034551719 scopus 로고    scopus 로고
    • Stable Hebbian learning from spike time dependent plasticity
    • van Rossum, R., Bi, G.-Q., & Turrigiano, G. (2000). Stable Hebbian learning from spike time dependent plasticity. J. Neurosd., 20, 8812-8821.
    • (2000) J. Neurosd , vol.20 , pp. 8812-8821
    • van Rossum, R.1    Bi, G.-Q.2    Turrigiano, G.3
  • 47
    • 37649027755 scopus 로고    scopus 로고
    • Learning in neural networks by reinforcement of irregular spiking
    • Xie, X., & Seung, H. (2004). Learning in neural networks by reinforcement of irregular spiking. Physical Review E, 69, 041909.
    • (2004) Physical Review E , vol.69 , pp. 041909
    • Xie, X.1    Seung, H.2
  • 48
    • 0032480332 scopus 로고    scopus 로고
    • A critical window for cooperation and competition among developing retinotectal synapses
    • Zhang, L., Tao, H., Holt, C., Harris, W., & Poo, M.-M. (1998). A critical window for cooperation and competition among developing retinotectal synapses. Nature, 395, 37-14.
    • (1998) Nature , vol.395 , pp. 37-14
    • Zhang, L.1    Tao, H.2    Holt, C.3    Harris, W.4    Poo, M.-M.5


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