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Volumn 25, Issue , 2014, Pages 134-139

To spike, or when to spike?

Author keywords

[No Author keywords available]

Indexed keywords

CYTOARCHITECTURE; HUMAN; NERVE CELL; NERVE CELL PLASTICITY; NERVE CELL STIMULATION; POSTSYNAPTIC POTENTIAL; PRIORITY JOURNAL; REVIEW; SPIKE; SYNAPSE; ARTIFICIAL NEURAL NETWORK; ELECTROPHYSIOLOGY; PHYSIOLOGY;

EID: 84893201625     PISSN: 09594388     EISSN: 18736882     Source Type: Journal    
DOI: 10.1016/j.conb.2014.01.004     Document Type: Review
Times cited : (88)

References (43)
  • 1
    • 84865401265 scopus 로고    scopus 로고
    • The spike-timing dependence of plasticity
    • Feldman D.E. The spike-timing dependence of plasticity. Neuron 2012, 75:556-571.
    • (2012) Neuron , vol.75 , pp. 556-571
    • Feldman, D.E.1
  • 2
    • 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
  • 3
    • 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. J Neurosci 1998, 18:10464-10472.
    • (1998) J Neurosci , vol.18 , pp. 10464-10472
    • Bi, G.Q.1    Poo, M.M.2
  • 6
    • 50249137195 scopus 로고    scopus 로고
    • Psychophysical and neurometric detection performance under stimulus uncertainty
    • Stuttgen M.C., Schwarz C. Psychophysical and neurometric detection performance under stimulus uncertainty. Nat Neurosci 2008, 11:1091-1099.
    • (2008) Nat Neurosci , vol.11 , pp. 1091-1099
    • Stuttgen, M.C.1    Schwarz, C.2
  • 7
    • 39749180280 scopus 로고    scopus 로고
    • Rapid neural coding in the retina with relative spike latencies
    • Gollisch T., Meister M. Rapid neural coding in the retina with relative spike latencies. Science 2008, 319:1108-1111.
    • (2008) Science , vol.319 , pp. 1108-1111
    • Gollisch, T.1    Meister, M.2
  • 8
    • 38049002082 scopus 로고    scopus 로고
    • Behavioural report of single neuron stimulation in somatosensory cortex
    • Houweling A.R., Brecht M. Behavioural report of single neuron stimulation in somatosensory cortex. Nature 2008, 451:65-68.
    • (2008) Nature , vol.451 , pp. 65-68
    • Houweling, A.R.1    Brecht, M.2
  • 9
    • 38049061220 scopus 로고    scopus 로고
    • Sparse optical microstimulation in barrel cortex drives learned behaviour in freely moving mice
    • Huber D., Petreanu L., Ghitani N., Ranade S., Hromadka T., Mainen Z., et al. Sparse optical microstimulation in barrel cortex drives learned behaviour in freely moving mice. Nature 2008, 451:61-64.
    • (2008) Nature , vol.451 , pp. 61-64
    • Huber, D.1    Petreanu, L.2    Ghitani, N.3    Ranade, S.4    Hromadka, T.5    Mainen, Z.6
  • 12
    • 23844463151 scopus 로고    scopus 로고
    • A gradient descent rule for spiking neurons emitting multiple spikes
    • Booij O., Nguyen H.T. A gradient descent rule for spiking neurons emitting multiple spikes. Inform Process Lett 2005, 95:552-558.
    • (2005) Inform Process Lett , vol.95 , pp. 552-558
    • Booij, O.1    Nguyen, H.T.2
  • 13
    • 71049128082 scopus 로고    scopus 로고
    • A new supervised learning algorithm for multiple spiking neural networks with application in epilepsy and seizure detection
    • Ghosh-Dastidar S., Adeli H. A new supervised learning algorithm for multiple spiking neural networks with application in epilepsy and seizure detection. Neural Netw 2009, 22:1419-1431.
    • (2009) Neural Netw , vol.22 , pp. 1419-1431
    • Ghosh-Dastidar, S.1    Adeli, H.2
  • 14
    • 77953331170 scopus 로고    scopus 로고
    • Spiking neural networks for cortical neuronal spike train decoding
    • Fang H., Wang Y., He J. Spiking neural networks for cortical neuronal spike train decoding. Neural Comput 2010, 22:1060-1085.
    • (2010) Neural Comput , vol.22 , pp. 1060-1085
    • Fang, H.1    Wang, Y.2    He, J.3
  • 15
    • 84875237051 scopus 로고    scopus 로고
    • A supervised multi-spike learning algorithm based on gradient descent for spiking neural networks
    • Xu Y., Zeng X., Han L., Yang J. A supervised multi-spike learning algorithm based on gradient descent for spiking neural networks. Neural Netw 2013, 43:99-113.
    • (2013) Neural Netw , vol.43 , pp. 99-113
    • Xu, Y.1    Zeng, X.2    Han, L.3    Yang, J.4
  • 16
    • 0036826068 scopus 로고    scopus 로고
    • Error-backpropagation in temporally encoded networks of spiking neurons
    • Bohte S.M., Kok J.N., Poutré H.L. Error-backpropagation in temporally encoded networks of spiking neurons. Neurocomputing 2002, 48:17-37.
    • (2002) Neurocomputing , vol.48 , pp. 17-37
    • Bohte, S.M.1    Kok, J.N.2    Poutré, H.L.3
  • 17
    • 84864668988 scopus 로고    scopus 로고
    • The chronotron: a neuron that learns to fire temporally precise spike patterns
    • Florian R.V. The chronotron: a neuron that learns to fire temporally precise spike patterns. PLoS ONE 2012, 7:e40233.
    • (2012) PLoS ONE , vol.7
    • Florian, R.V.1
  • 18
    • 0029791918 scopus 로고    scopus 로고
    • Nature and precision of temporal coding in visual cortex: a metric-space analysis
    • Victor J.D., Purpura K.P. Nature and precision of temporal coding in visual cortex: a metric-space analysis. J Neurophysiol 1996, 76:1310-1326.
    • (1996) J Neurophysiol , vol.76 , pp. 1310-1326
    • Victor, J.D.1    Purpura, K.P.2
  • 19
    • 33646173413 scopus 로고    scopus 로고
    • Learning in spiking neural assemblies
    • MIT Press, Cambridge, MA, S. Becker, S. Thrun, K. Obermayer (Eds.)
    • Barber D. Learning in spiking neural assemblies. Advances in Neural Information Processing Systems, vol 15 2003, 149-156. MIT Press, Cambridge, MA. S. Becker, S. Thrun, K. Obermayer (Eds.).
    • (2003) Advances in Neural Information Processing Systems, vol 15 , pp. 149-156
    • Barber, D.1
  • 20
    • 33646801243 scopus 로고    scopus 로고
    • Optimal spike-timing-dependent plasticity for precise action potential firing in supervised learning
    • Pfister J.P., Toyoizumi T., Barber D., Gerstner W. Optimal spike-timing-dependent plasticity for precise action potential firing in supervised learning. Neural Comput 2006, 18:1318-1348.
    • (2006) Neural Comput , vol.18 , pp. 1318-1348
    • Pfister, J.P.1    Toyoizumi, T.2    Barber, D.3    Gerstner, W.4
  • 21
    • 84878514215 scopus 로고    scopus 로고
    • Matching recall and storage in sequence learning with spiking neural networks
    • Brea J., Senn W., Pfister J.P. Matching recall and storage in sequence learning with spiking neural networks. J Neurosci 2013, 33:9565-9575.
    • (2013) J Neurosci , vol.33 , pp. 9565-9575
    • Brea, J.1    Senn, W.2    Pfister, J.P.3
  • 23
    • 84877829714 scopus 로고    scopus 로고
    • A new supervised learning algorithm for spiking neurons
    • Xu Y., Zeng X., Zhong S. A new supervised learning algorithm for spiking neurons. Neural Comput 2013, 25:1472-1511.
    • (2013) Neural Comput , vol.25 , pp. 1472-1511
    • Xu, Y.1    Zeng, X.2    Zhong, S.3
  • 26
    • 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 Comput 2005, 17:2337-2382.
    • (2005) Neural Comput , vol.17 , pp. 2337-2382
    • Legenstein, R.1    Naeger, C.2    Maass, W.3
  • 27
    • 77649334232 scopus 로고    scopus 로고
    • Supervised learning in spiking neural networks with ReSuMe: sequence learning, classification, and spike shifting
    • Ponulak F., Kasiński A. Supervised learning in spiking neural networks with ReSuMe: sequence learning, classification, and spike shifting. Neural Comput 2010, 22:467-510.
    • (2010) Neural Comput , vol.22 , pp. 467-510
    • Ponulak, F.1    Kasiński, A.2
  • 28
    • 84877839888 scopus 로고    scopus 로고
    • Supervised learning in multilayer spiking neural networks
    • Sporea I., Gruning A. Supervised learning in multilayer spiking neural networks. Neural Comput 2013, 25:473-509.
    • (2013) Neural Comput , vol.25 , pp. 473-509
    • Sporea, I.1    Gruning, A.2
  • 29
    • 37549060355 scopus 로고    scopus 로고
    • Reinforcement learning with modulated spike timing dependent synaptic plasticity
    • Farries M.A., Fairhall A.L. Reinforcement learning with modulated spike timing dependent synaptic plasticity. J Neurophysiol 2007, 98:3648-3665.
    • (2007) J Neurophysiol , vol.98 , pp. 3648-3665
    • Farries, M.A.1    Fairhall, A.L.2
  • 30
    • 34249708388 scopus 로고    scopus 로고
    • Reinforcement learning through modulation of spike-timing-dependent synaptic plasticity
    • Florian R.V. Reinforcement learning through modulation of spike-timing-dependent synaptic plasticity. Neural Comput 2007, 19:1468-1502.
    • (2007) Neural Comput , vol.19 , pp. 1468-1502
    • Florian, R.V.1
  • 31
    • 34948906745 scopus 로고    scopus 로고
    • Solving the distal reward problem through linkage of STDP and dopamine signaling
    • Izhikevich E.M. Solving the distal reward problem through linkage of STDP and dopamine signaling. Cereb Cortex 2007, 17:2443-2452.
    • (2007) Cereb Cortex , vol.17 , pp. 2443-2452
    • Izhikevich, E.M.1
  • 32
    • 55449121121 scopus 로고    scopus 로고
    • A learning theory for reward-modulated spike-timing-dependent plasticity with application to biofeedback
    • Legenstein R., Pecevski D., Maass W. A learning theory for reward-modulated spike-timing-dependent plasticity with application to biofeedback. PLoS Comput Biol 2008, 4:e1000180.
    • (2008) PLoS Comput Biol , vol.4
    • Legenstein, R.1    Pecevski, D.2    Maass, W.3
  • 33
    • 0347362917 scopus 로고    scopus 로고
    • Learning in spiking neural networks by reinforcement of stochastic synaptic transmission
    • Seung H.S. Learning in spiking neural networks by reinforcement of stochastic synaptic transmission. Neuron 2003, 40:1063-1073.
    • (2003) Neuron , vol.40 , pp. 1063-1073
    • Seung, H.S.1
  • 34
    • 37649027755 scopus 로고    scopus 로고
    • Learning in neural networks by reinforcement of irregular spiking
    • Xie X., Seung H.S. Learning in neural networks by reinforcement of irregular spiking. Phys Rev E Stat Nonlin Soft Matter Phys 2004, 69(4 Pt 1):041909.
    • (2004) Phys Rev E Stat Nonlin Soft Matter Phys , vol.69 , Issue.4 PART 1 , pp. 041909
    • Xie, X.1    Seung, H.S.2
  • 35
    • 67650286597 scopus 로고    scopus 로고
    • A gradient learning rule for the tempotron
    • Urbanczik R., Senn W. A gradient learning rule for the tempotron. Neural Comput 2009, 21:340-352.
    • (2009) Neural Comput , vol.21 , pp. 340-352
    • Urbanczik, R.1    Senn, W.2
  • 36
    • 33344478663 scopus 로고    scopus 로고
    • The tempotron: a neuron that learns spike timing-based decisions
    • Gütig R., Sompolinsky H. The tempotron: a neuron that learns spike timing-based decisions. Nat Neurosci 2006, 9:420-428.
    • (2006) Nat Neurosci , vol.9 , pp. 420-428
    • Gütig, R.1    Sompolinsky, H.2
  • 37
    • 78649244824 scopus 로고    scopus 로고
    • Theory of spike timing-based neural classifiers
    • Rubin R., Monasson R., Sompolinsky H. Theory of spike timing-based neural classifiers. Phys Rev Lett 2010, 105:218102.
    • (2010) Phys Rev Lett , vol.105 , pp. 218102
    • Rubin, R.1    Monasson, R.2    Sompolinsky, H.3
  • 38
  • 39
    • 68049143463 scopus 로고    scopus 로고
    • Time-warp-invariant neuronal processing
    • Gütig R., Sompolinsky H. Time-warp-invariant neuronal processing. PLoS Biol 2009, 7:e1000141.
    • (2009) PLoS Biol , vol.7
    • Gütig, R.1    Sompolinsky, H.2
  • 40
    • 84893184426 scopus 로고    scopus 로고
    • The multi-class tempotron: a neuron model for processing of sensory streams
    • Gütig R. The multi-class tempotron: a neuron model for processing of sensory streams. Cosyne Abstracts. Salt Lake City USA 2012, 58.
    • (2012) Cosyne Abstracts. Salt Lake City USA , pp. 58
    • Gütig, R.1
  • 42
    • 0033578855 scopus 로고    scopus 로고
    • Long-term potentiation-a decade of progress?
    • Malenka R.C., Nicoll R.A. Long-term potentiation-a decade of progress?. Science 1999, 285:1870-1874.
    • (1999) Science , vol.285 , pp. 1870-1874
    • Malenka, R.C.1    Nicoll, R.A.2
  • 43
    • 33745902544 scopus 로고    scopus 로고
    • A cooperative switch determines the sign of synaptic plasticity in distal dendrites of neocortical pyramidal neurons
    • Sjostrom P.J., Hausser M. A cooperative switch determines the sign of synaptic plasticity in distal dendrites of neocortical pyramidal neurons. Neuron 2006, 51:227-238.
    • (2006) Neuron , vol.51 , pp. 227-238
    • Sjostrom, P.J.1    Hausser, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.