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Volumn 25, Issue 2, 2013, Pages 450-472

A spike-timing-based integratedmodel for pattern recognition

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ANIMAL; BIOLOGICAL MODEL; HUMAN; LETTER; NERVE CELL; PATTERN RECOGNITION; PHYSIOLOGY;

EID: 84877815482     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/NECO_a_00395     Document Type: Letter
Times cited : (70)

References (62)
  • 1
    • 0028097086 scopus 로고
    • Synchronization in neuronal transmission and its importance for information processing
    • Abeles, M., Prut, Y., Bergman, H., & Vaadia, E. (1994). Synchronization in neuronal transmission and its importance for information processing. Progress in Brain Research, 102, 395-404.
    • (1994) Progress in Brain Research , vol.102 , pp. 395-404
    • Abeles, M.1    Prut, Y.2    Bergman, H.3    Vaadia, E.4
  • 3
    • 0017847342 scopus 로고
    • Statistical dependence between neighboring retinal ganglion cells in goldfish
    • Arnett, D. W. (1978). Statistical dependence between neighboring retinal ganglion cells in goldfish. Exprimental Brain Research, 32, 49-53.
    • (1978) Exprimental Brain Research , vol.32 , pp. 49-53
    • Arnett, D.W.1
  • 4
    • 33749445809 scopus 로고    scopus 로고
    • Recognition by variance: Learning rules for spatiotemporal patterns
    • Barak, O., & Tsodyks, M. (2006). Recognition by variance: Learning rules for spatiotemporal patterns. Neural Computation, 18(10), 2343-2358.
    • (2006) Neural Computation , vol.18 , Issue.10 , pp. 2343-2358
    • Barak, O.1    Tsodyks, M.2
  • 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. Journal of Neuroscience, 18(24), 10464-10472.
    • (1998) Journal of Neuroscience , 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. Annual Review of Neuroscience, 24, 139-166.
    • (2001) Annual Review of Neuroscience , vol.24 , pp. 139-166
    • Bi, G.Q.1    Poo, M.M.2
  • 8
    • 33749648108 scopus 로고    scopus 로고
    • Dynamics of memory representations in networks with novelty-facilitated synaptic plasticity
    • Blumenfeld, B., Preminger, S., Sagi, D., & Tsodyks, M. (2006). Dynamics of memory representations in networks with novelty-facilitated synaptic plasticity. Neuron, 52, 383-394.
    • (2006) Neuron , vol.52 , pp. 383-394
    • Blumenfeld, B.1    Preminger, S.2    Sagi, D.3    Tsodyks, M.4
  • 9
    • 0036826068 scopus 로고    scopus 로고
    • Error-backpropagation in temporally encoded networks of spiking neurons
    • Bohte, S. M., Kok, J., & Poutré, H. L. (2002). Error-backpropagation in temporally encoded networks of spiking neurons. Neurocomputing, 48, 17-37.
    • (2002) Neurocomputing , vol.48 , pp. 17-37
    • Bohte, S.M.1    Kok, J.2    Poutré, H.L.3
  • 10
    • 36248934673 scopus 로고    scopus 로고
    • Learning real-world stimuli in a neural network with spike-driven synaptic dynamics
    • Brader, J. M., Senn, W., & Fusi, S. (2007). Learning real-world stimuli in a neural network with spike-driven synaptic dynamics. Neural Computation, 19, 2881- 2912.
    • (2007) Neural Computation , vol.19
    • Brader, J.M.1    Senn, W.2    Fusi, S.3
  • 11
    • 0037422008 scopus 로고    scopus 로고
    • Simple networks for spike-timing-based computation, with application to olfactory processing
    • Brody, C. D., & Hopfield, J. J. (2003). Simple networks for spike-timing-based computation, with application to olfactory processing. Neuron, 37(5), 843-852.
    • (2003) Neuron , vol.37 , Issue.5 , pp. 843-852
    • Brody, C.D.1    Hopfield, J.J.2
  • 12
    • 0027393877 scopus 로고
    • Processing of temporal information in the brain
    • Carr, C. E. (1993). Processing of temporal information in the brain. Annual Review of Neuroscience, 16, 223-243.
    • (1993) Annual Review of Neuroscience , vol.16 , pp. 223-243
    • Carr, C.E.1
  • 13
    • 0031984434 scopus 로고    scopus 로고
    • Gamma oscillations in the entorhinal cortex of the freely behaving rat
    • Chrobak, J. J., & Buzsaki, G. (1998). Gamma oscillations in the entorhinal cortex of the freely behaving rat. Journal of Neuroscience, 18, 388-398.
    • (1998) Journal of Neuroscience , vol.18 , pp. 388-398
    • Chrobak, J.J.1    Buzsaki, G.2
  • 14
    • 0032988658 scopus 로고    scopus 로고
    • Correlated firing in rabbit retinal ganglion cells
    • DeVries, S. H. (1999). Correlated firing in rabbit retinal ganglion cells. Journal of Neurophysiology, 81, 908-920.
    • (1999) Journal of Neurophysiology , vol.81 , pp. 908-920
    • DeVries, S.H.1
  • 16
    • 0029793285 scopus 로고    scopus 로고
    • Latency: Another potential code for feature binding in striate cortex
    • Gawne, T. J., Kjaer, T.W., & Richmond, B. J. (1996). Latency: Another potential code for feature binding in striate cortex. Journal of Neurophysiology, 76, 1356-1360.
    • (1996) Journal of Neurophysiology , vol.76 , pp. 1356-1360
    • Gawne, T.J.1    Kjaer, T.W.2    Richmond, B.J.3
  • 18
    • 39749180280 scopus 로고    scopus 로고
    • Rapid neural coding in the retina with relative spike latencies
    • Gollisch, T., & Meister, M. (2008). Rapid neural coding in the retina with relative spike latencies. Science, 319, 1108-1111.
    • (2008) Science , vol.319 , pp. 1108-1111
    • Gollisch, T.1    Meister, M.2
  • 20
    • 33344478663 scopus 로고    scopus 로고
    • The tempotron: A neuron that learns spike timing-based decisions
    • Gütig, R., & Sompolinsky, H. (2006). The tempotron: A neuron that learns spike timing-based decisions. Nature Neuroscience, 9, 420-428.
    • (2006) Nature Neuroscience , vol.9 , pp. 420-428
    • Gütig, R.1    Sompolinsky, H.2
  • 23
    • 0029637779 scopus 로고
    • Pattern recognition computation using action potential timing for stimulus representation
    • Hopfield, J. J. (1995). Pattern recognition computation using action potential timing for stimulus representation. Nature, 376, 33-36.
    • (1995) Nature , vol.376 , pp. 33-36
    • Hopfield, J.J.1
  • 24
    • 0034610280 scopus 로고    scopus 로고
    • What is a moment? "Cortical" sensory integration over a brief interval
    • Hopfield, J. J., & Brody, C. D. (2000).What is a moment? "Cortical" sensory integration over a brief interval. Proc. Natl. Acad. Sci. USA, 97, 13919-13924.
    • (2000) Proc. Natl. Acad. Sci. USA , vol.97 , pp. 13919-13924
    • Hopfield, J.J.1    Brody, C.D.2
  • 25
    • 85047681116 scopus 로고    scopus 로고
    • What is a moment? Transient synchrony as a collective mechanism for spatiotemporal integration
    • Hopfield, J. J., & Brody, C. D. (2001). What is a moment? Transient synchrony as a collective mechanism for spatiotemporal integration. Proc. Natl. Acad. Sci. USA, 98, 1282-1287.
    • (2001) Proc. Natl. Acad. Sci. USA , vol.98 , pp. 1282-1287
    • Hopfield, J.J.1    Brody, C.D.2
  • 26
    • 0034672329 scopus 로고    scopus 로고
    • Mechanisms of motor learning in the cerebellum
    • Ito, M. (2000). Mechanisms of motor learning in the cerebellum. Brain Research, 886, 237-245.
    • (2000) Brain Research , vol.886 , pp. 237-245
    • Ito, M.1
  • 27
    • 41149173145 scopus 로고    scopus 로고
    • Control of mental activities by internal models in the cerebellum
    • Ito, M. (2008). Control of mental activities by internal models in the cerebellum. Nature Reviews Neuroscience, 9, 304-313.
    • (2008) Nature Reviews Neuroscience , vol.9 , pp. 304-313
    • Ito, M.1
  • 28
    • 0035650492 scopus 로고    scopus 로고
    • Information transfer between rhythmically coupled networks: Reading the hippocampal phase code
    • Jensen, O. (2001). Information transfer between rhythmically coupled networks: Reading the hippocampal phase code. Neural Computation, 13, 2743- 2761.
    • (2001) Neural Computation , vol.13
    • Jensen, O.1
  • 29
    • 60449118134 scopus 로고    scopus 로고
    • Spike-phase coding boosts and stabilizes information carried by spatial and temporal spike patterns
    • Kayser, C., Montemurro, M. A., Logothetis, N. K., & Panzeri, S. (2009). Spike-phase coding boosts and stabilizes information carried by spatial and temporal spike patterns. Neuron, 61, 597-608.
    • (2009) Neuron , vol.61 , pp. 597-608
    • Kayser, C.1    Montemurro, M.A.2    Logothetis, N.K.3    Panzeri, S.4
  • 30
    • 0034972776 scopus 로고    scopus 로고
    • Predicting every spike: A model for the responses of visual neurons
    • Keat, J. (2001). Predicting every spike: A model for the responses of visual neurons. Neuron, 30, 803-817.
    • (2001) Neuron , vol.30 , pp. 803-817
    • Keat, J.1
  • 31
    • 0028286477 scopus 로고
    • Supervised learning in the brain
    • Knudsen, E. I. (1994). Supervised learning in the brain. Journal of Neuroscience, 14(7), 3985-3997.
    • (1994) Journal of Neuroscience , vol.14 , Issue.7 , pp. 3985-3997
    • Knudsen, E.I.1
  • 33
    • 0037387041 scopus 로고    scopus 로고
    • On the transmission of rate code in long feed-forward networks with excitatory-inhibitory balance
    • Litvak, V., Sompolinsky, H., Segev, I., & Abeles, M. (2003). On the transmission of rate code in long feed-forward networks with excitatory-inhibitory balance. Journal of Neuroscience, 23, 3006-3015.
    • (2003) Journal of Neuroscience , vol.23 , pp. 3006-3015
    • Litvak, V.1    Sompolinsky, H.2    Segev, I.3    Abeles, M.4
  • 34
    • 0025972273 scopus 로고
    • In vitro neurons inmammalian cortical layer 4 exhibit intrinsic oscillatory activity in the 10- to 50-Hz frequency range
    • Llinas, R. R., Grace, A. A.,&Yarom, Y. (1991). In vitro neurons inmammalian cortical layer 4 exhibit intrinsic oscillatory activity in the 10- to 50-Hz frequency range. Proc. Natl. Acad. Sci. USA, 88, 897-901.
    • (1991) Proc. Natl. Acad. Sci. USA , vol.88 , pp. 897-901
    • Llinas, R.R.1    Grace, A.A.2    Yarom, Y.3
  • 35
    • 0036834701 scopus 로고    scopus 로고
    • Real-time computing without stable states: A new framework for neural computation based on perturbations
    • Maass, W., Natschläger, T., & Markram, H. (2002). Real-time computing without stable states: A new framework for neural computation based on perturbations. Neural Computation, 14(11), 2531-2560.
    • (2002) Neural Computation , vol.14 , Issue.11 , pp. 2531-2560
    • Maass, W.1    Natschläger, T.2    Markram, H.3
  • 36
    • 0029030249 scopus 로고
    • Reliability of spike timing in neocortical neurons
    • Mainen, Z. F., & Sejnowski, T. J. (1995). Reliability of spike timing in neocortical neurons. Science, 268, 1503-1506.
    • (1995) Science , vol.268 , pp. 1503-1506
    • Mainen, Z.F.1    Sejnowski, T.J.2
  • 37
    • 4644251017 scopus 로고    scopus 로고
    • Temporal processing in primate motor control: Relation between cortical andEMGactivity
    • Manette, O. F., & Maier, M. A. (2004). Temporal processing in primate motor control: Relation between cortical andEMGactivity. IEEE Trans. on Neural Networks, 15(5), 1260-1267.
    • (2004) IEEE Trans. on Neural Networks , vol.15 , Issue.5 , pp. 1260-1267
    • Manette, O.F.1    Maier, M.A.2
  • 38
    • 0033103165 scopus 로고    scopus 로고
    • The neural code of the retina
    • Meister, M., & Berry, M. J. (1999). The neural code of the retina. Neuron, 22(3), 435- 450.
    • (1999) Neuron , vol.22 , Issue.3
    • Meister, M.1    Berry, M.J.2
  • 39
    • 0028788653 scopus 로고
    • Concerted signaling by retinal ganglion cells
    • Meister, M., Lagnado, L., & Baylor, D. A. (1995). Concerted signaling by retinal ganglion cells. Science, 270, 1207-1210.
    • (1995) Science , vol.270 , pp. 1207-1210
    • Meister, M.1    Lagnado, L.2    Baylor, D.A.3
  • 40
    • 78951471310 scopus 로고    scopus 로고
    • Autonomous self-reconfiguration of modular robots by evolving a hierarchical mechanochemical model
    • Meng, Y., Zhang, Y., & Jin, Y. (2011). Autonomous self-reconfiguration of modular robots by evolving a hierarchical mechanochemical model. IEEE Computational Intelligence Magazine, 6(1), 43-54.
    • (2011) IEEE Computational Intelligence Magazine , vol.6 , Issue.1 , pp. 43-54
    • Meng, Y.1    Zhang, Y.2    Jin, Y.3
  • 42
    • 84855472431 scopus 로고    scopus 로고
    • Temporal coding of brain patterns for direct limb control in humans
    • doi:10.3389/fnins.2010.00034
    • Müler-Putz,G.R., Scherer, R., Pfurtscheller, G.,&Neuper,C. (2010).Temporal coding of brain patterns for direct limb control in humans. Frontiers in Neuroscience, 4(34). doi:10.3389/fnins.2010.00034
    • (2010) Frontiers in Neuroscience , vol.4 , Issue.34
    • Müler-Putz, G.R.1    Scherer, R.2    Pfurtscheller, G.3    Neuper, C.4
  • 43
    • 77649326776 scopus 로고    scopus 로고
    • Information encoding and reconstruction from the phase of action potentials
    • doi:10.3389/ neuro.06.006.2009
    • Nadasdy, Z. (2009). Information encoding and reconstruction from the phase of action potentials. Frontiers in Systems Neuroscience, 3(6). doi:10.3389/ neuro.06.006.2009
    • (2009) Frontiers in Systems Neuroscience , vol.3 , Issue.6
    • Nadasdy, Z.1
  • 44
    • 27644451475 scopus 로고    scopus 로고
    • Dual phase and rate coding in hippocampal place cells: Theoretical significance and relationship to entorhinal grid cells
    • O'Keefe, J., & Burgess, N. (2005). Dual phase and rate coding in hippocampal place cells: Theoretical significance and relationship to entorhinal grid cells. Hippocampus, 15, 853-866.
    • (2005) Hippocampus , vol.15 , pp. 853-866
    • O'Keefe, J.1    Burgess, N.2
  • 46
    • 78951495036 scopus 로고    scopus 로고
    • Computational intelligence applications for defense
    • Perlovsky, L. (2011). Computational intelligence applications for defense. IEEE Computational Intelligence Magazine, 6(1), 20-29.
    • (2011) IEEE Computational Intelligence Magazine , vol.6 , Issue.1 , pp. 20-29
    • Perlovsky, L.1
  • 47
    • 77649334232 scopus 로고    scopus 로고
    • Supervised learning in spiking neural networks with ReSuMe: Sequence learning, classification, and spike shifting
    • Ponulak, F., & Kasinski, A. (2010). Supervised learning in spiking neural networks with ReSuMe: Sequence learning, classification, and spike shifting. Neural Computation, 22(2), 467-510.
    • (2010) Neural Computation , vol.22 , Issue.2 , pp. 467-510
    • Ponulak, F.1    Kasinski, A.2
  • 48
    • 0035092294 scopus 로고    scopus 로고
    • Temporal coding of contrast in primary visual cortex:When, what, and why
    • Reich, D. S.,Mechler, F.,&Victor, J.D. (2001). Temporal coding of contrast in primary visual cortex:When, what, and why? Journal of Neurophysiology, 85, 1039-1050.
    • (2001) Journal of Neurophysiology , vol.85 , pp. 1039-1050
    • Reich, D.S.1    Mechler, F.2    Victor, J.D.3
  • 49
    • 0033316361 scopus 로고    scopus 로고
    • Hierarchical models of object recognition in cortex
    • Riesenhuber, M., & Poggio, T. (1999). Hierarchical models of object recognition in cortex. Nature Neuroscience, 2, 1019-1025.
    • (1999) Nature Neuroscience , vol.2 , pp. 1019-1025
    • Riesenhuber, M.1    Poggio, T.2
  • 52
    • 0347362917 scopus 로고    scopus 로고
    • Learning in spiking neural networks by reinforcement of stochastic synaptic transmission
    • Seung, H. S. (2003). Learning in spiking neural networks by reinforcement of stochastic synaptic transmission. Neuron, 40(6), 1063-1073.
    • (2003) Neuron , vol.40 , Issue.6 , pp. 1063-1073
    • Seung, H.S.1
  • 54
    • 0028969330 scopus 로고
    • Visual feature integration and the temporal correlation hypothesis
    • Singer, W., & Gray, C. M. (1995). Visual feature integration and the temporal correlation hypothesis. Annual Review of Neuroscience, 18, 555-586.
    • (1995) Annual Review of Neuroscience , vol.18 , pp. 555-586
    • Singer, W.1    Gray, C.M.2
  • 55
    • 0028958991 scopus 로고
    • Simple codes versus effcient codes
    • Softky, W. R. (1995). Simple codes versus effcient codes. Current Opinion in Neurobiology, 5, 239-247.
    • (1995) Current Opinion in Neurobiology , vol.5 , pp. 239-247
    • Softky, W.R.1
  • 56
    • 77955990471 scopus 로고    scopus 로고
    • Memory dynamics in attractor networks with saliency weights
    • Tang, H., Li, H., & Yan, R. (2010). Memory dynamics in attractor networks with saliency weights. Neural Computation, 22, 1899-1926.
    • (2010) Neural Computation , vol.22 , pp. 1899-1926
    • Tang, H.1    Li, H.2    Yan, R.3
  • 57
    • 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. (1996). Population dynamics and theta rhythm phase precession of hippocampal place cell firing: A spiking neuron model. Hippocampus, 6, 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
  • 58
    • 0035380719 scopus 로고    scopus 로고
    • Rate-coding versus temporal order coding: What the retinal ganglion cells tell the visual cortex
    • van Rullen, R., & Thorpe, S. J. (2001). Rate-coding versus temporal order coding: What the retinal ganglion cells tell the visual cortex. Neural Computation, 13, 1255-1283.
    • (2001) Neural Computation , vol.13 , pp. 1255-1283
    • van Rullen, R.1    Thorpe, S.J.2
  • 59
    • 33845751029 scopus 로고    scopus 로고
    • Local edge detectors: A substrate for fine spatial vision at low temporal frequencies in rabbit retina
    • van Wyk, M., Taylor, W. R., & Vaney, D. I. (2006). Local edge detectors: A substrate for fine spatial vision at low temporal frequencies in rabbit retina. Journal of Neuroscience, 26(51), 13250-13263.
    • (2006) Journal of Neuroscience , vol.26 , Issue.51 , pp. 13250-13263
    • van Wyk, M.1    Taylor, W.R.2    Vaney, D.I.3
  • 60
    • 0034672463 scopus 로고    scopus 로고
    • How the brain uses time to represent and process visual information
    • Victor, J. D. (2000). How the brain uses time to represent and process visual information. Brain Research, 886, 33-46.
    • (2000) Brain Research , vol.886 , pp. 33-46
    • Victor, J.D.1
  • 62
    • 84863071297 scopus 로고    scopus 로고
    • Gesture recognition based on localist attractor networks with application to robot control
    • Yan, R., Tee, K. P., Chua, Y., Li, H., & Tang, H. (2012). Gesture recognition based on localist attractor networks with application to robot control. IEEE Computational Intelligence Magazine, 7(1), 64-74.
    • (2012) IEEE Computational Intelligence Magazine , vol.7 , Issue.1 , pp. 64-74
    • Yan, R.1    Tee, K.P.2    Chua, Y.3    Li, H.4    Tang, H.5


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