메뉴 건너뛰기




Volumn 8, Issue JUN, 2014, Pages

Robust development of synfire chains from multiple plasticity mechanisms

Author keywords

Homeostatic plasticity; Network motif; Network self organization; Recurrent neural network; Spike timing dependent plasticity; Synfire chain

Indexed keywords

DATA PROCESSING; NETWORKS (CIRCUITS); RECURRENT NEURAL NETWORKS; TIME MEASUREMENT;

EID: 84903735886     PISSN: None     EISSN: 16625188     Source Type: Journal    
DOI: 10.3389/fncom.2014.00066     Document Type: Article
Times cited : (39)

References (39)
  • 1
    • 0033667165 scopus 로고    scopus 로고
    • Synaptic plasticity: Taming the beast
    • doi: 10.1038/81453
    • Abbott, L. F., and Nelson, S. B. (2000). Synaptic plasticity: taming the beast. Nat. Neurosci. 3, 1178-1183. doi: 10.1038/81453
    • (2000) Nat. Neurosci. , vol.3 , pp. 1178-1183
    • Abbott, L.F.1    Nelson, S.B.2
  • 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., and Poo, M. M. (1998). Synaptic modifications in cultured hippocampal neurons: dependence on spike timing, synaptic strength, and postsynaptic cell type. J. Neurosci. 18, 10464-10472.
    • (1998) J. Neurosci. , vol.18 , pp. 10464-10472
    • Bi, G.Q.1    Poo, M.M.2
  • 4
    • 84864010311 scopus 로고    scopus 로고
    • Excitatory, inhibitory, and structural plasticity produce correlated connectivity in random networks trained to solve paired-stimulus tasks
    • doi: 10.3389/fncom.2011.00037
    • Bourjaily, M. A., and Miller, P. (2011). Excitatory, inhibitory, and structural plasticity produce correlated connectivity in random networks trained to solve paired-stimulus tasks. Front. Comput. Neurosci. 5:37. doi: 10.3389/fncom.2011.00037
    • (2011) Front. Comput. Neurosci. , vol.5 , pp. 37
    • Bourjaily, M.A.1    Miller, P.2
  • 5
    • 79953030487 scopus 로고    scopus 로고
    • Coordination of size and number of excitatory and inhibitory synapses results in a balanced structural plasticity along mature hippocampal CA1 dendrites during LTP
    • doi: 10.1002/hipo.20768
    • Bourne, J. N., and Harris, K. M. (2011). Coordination of size and number of excitatory and inhibitory synapses results in a balanced structural plasticity along mature hippocampal CA1 dendrites during LTP. Hippocampus 21, 354-373. doi: 10.1002/hipo.20768
    • (2011) Hippocampus , vol.21 , pp. 354-373
    • Bourne, J.N.1    Harris, K.M.2
  • 6
    • 77649152514 scopus 로고    scopus 로고
    • Connectivity reflects coding: A model of voltage-based stdp with homeostasis
    • doi: 10.1038/nn.2479
    • Clopath, C., Busing, L., Vasilaki, E., and Gerstner, W. (2010). Connectivity reflects coding: a model of voltage-based stdp with homeostasis. Nat. Neurosci. 13, 344-352. doi: 10.1038/nn.2479
    • (2010) Nat. Neurosci. , vol.13 , pp. 344-352
    • Clopath, C.1    Busing, L.2    Vasilaki, E.3    Gerstner, W.4
  • 7
    • 0033360297 scopus 로고    scopus 로고
    • Plasticity in the intrinsic excitability of cortical pyramidal neurons
    • doi: 10.1038/9165
    • Desai, N. S., Rutherford, L. C., and Turrigiano, G. G. (1999). Plasticity in the intrinsic excitability of cortical pyramidal neurons. Nat. Neurosci. 2, 515-520. doi: 10.1038/9165
    • (1999) Nat. Neurosci. , vol.2 , pp. 515-520
    • Desai, N.S.1    Rutherford, L.C.2    Turrigiano, G.G.3
  • 9
    • 84899849785 scopus 로고    scopus 로고
    • Nonlinear dynamics analysis of a self-organizing recurrent neural network: Chaos waning
    • doi: 10.1371/journal.pone.0086962
    • Eser, J., Zheng, P., and Triesch, J. (2014). Nonlinear dynamics analysis of a self-organizing recurrent neural network: chaos waning. PLoS ONE 9:e86962. doi: 10.1371/journal.pone.0086962
    • (2014) PLoS ONE , vol.9
    • Eser, J.1    Zheng, P.2    Triesch, J.3
  • 10
    • 0036487071 scopus 로고    scopus 로고
    • Synaptic connections between layer 4 spiny neurone-layer 2/3 pyramidal cell pairs in juvenile rat barrel cortex: Physiology and anatomy of interlaminar signalling within a cortical column
    • doi: 10.1113/jphysiol.2001.012959
    • Feldmeyer, D., Lubke, J., Silver, R. A., and Sakmann, B. (2002). Synaptic connections between layer 4 spiny neurone-layer 2/3 pyramidal cell pairs in juvenile rat barrel cortex: physiology and anatomy of interlaminar signalling within a cortical column. J. Physiol. Lond. 538, 803-822. doi: 10.1113/jphysiol.2001.012959
    • (2002) J. Physiol. Lond. , vol.538 , pp. 803-822
    • Feldmeyer, D.1    Lubke, J.2    Silver, R.A.3    Sakmann, B.4
  • 11
    • 76849115047 scopus 로고    scopus 로고
    • Spike-time-dependent plasticity and heterosynaptic competition organize networks to produce long scale-free sequences of neural activity
    • doi: 10.1016/j.neuron.2010.02.003
    • Fiete, I. R., Senn, W., Wang, C. Z. H., and Hahnloser, R. H. R. (2010). Spike-time-dependent plasticity and heterosynaptic competition organize networks to produce long scale-free sequences of neural activity. Neuron 65, 563-576. doi: 10.1016/j.neuron.2010.02.003
    • (2010) Neuron , vol.65 , pp. 563-576
    • Fiete, I.R.1    Senn, W.2    Wang, C.Z.H.3    Hahnloser, R.H.R.4
  • 12
    • 33751516381 scopus 로고    scopus 로고
    • Spike-timing-dependent plasticity of inhibitory synapses in the entorhinal cortex
    • doi: 10.1152/jn.00551.2006
    • Haas, J. S., Nowotny, T., and Abarbanel, H. D. I. (2006). Spike-timing-dependent plasticity of inhibitory synapses in the entorhinal cortex. J. Neurophysiol. 96, 3305-3313. doi: 10.1152/jn.00551.2006
    • (2006) J. Neurophysiol. , vol.96 , pp. 3305-3313
    • Haas, J.S.1    Nowotny, T.2    Abarbanel, H.D.I.3
  • 13
    • 0037026530 scopus 로고    scopus 로고
    • An ultra-sparse code underlies the generation of neural sequences in a songbird
    • doi: 10.1038/nature00974
    • Hahnloser, R. H. R., Kozhevnikov, A. A., and Fee, M. S. (2002). An ultra-sparse code underlies the generation of neural sequences in a songbird. Nature 419, 65-70. doi: 10.1038/nature00974
    • (2002) Nature , vol.419 , pp. 65-70
    • Hahnloser, R.H.R.1    Kozhevnikov, A.A.2    Fee, M.S.3
  • 14
    • 0030229039 scopus 로고    scopus 로고
    • Learning synfire chains: Turning noise into signal
    • doi: 10.1142/S0129065796000427
    • Hertz, J., and Prugel-Bennett, A. (1996). Learning synfire chains: turning noise into signal. Int. J. Neural Syst. 7, 445-450. doi: 10.1142/S0129065796000427
    • (1996) Int. J. Neural Syst. , vol.7 , pp. 445-450
    • Hertz, J.1    Prugel-Bennett, A.2
  • 15
    • 38649090761 scopus 로고    scopus 로고
    • STDP provides the substrate for igniting synfire chains by spatiotemporal input patterns
    • doi: 10.1162/neco.2007.11-05-043
    • Hosaka, R., Araki, O., and Ikeguchi, T. (2008). STDP provides the substrate for igniting synfire chains by spatiotemporal input patterns. Neural Comput. 20, 415-435. doi: 10.1162/neco.2007.11-05-043
    • (2008) Neural Comput. , vol.20 , pp. 415-435
    • Hosaka, R.1    Araki, O.2    Ikeguchi, T.3
  • 16
    • 51449107175 scopus 로고    scopus 로고
    • Emergence of preferred firing sequences in large spiking neural networks during simulated neuronal development
    • doi: 10.1142/S0129065708001580
    • Iglesias, J., and Villa, A. E. P. (2008). Emergence of preferred firing sequences in large spiking neural networks during simulated neuronal development. Int. J. Neural Syst. 18, 267-277. doi: 10.1142/S0129065708001580
    • (2008) Int. J. Neural Syst. , vol.18 , pp. 267-277
    • Iglesias, J.1    Villa, A.E.P.2
  • 17
    • 33644898137 scopus 로고    scopus 로고
    • Polychronization: Computation with spikes
    • doi: 10.1162/089976606775093882
    • Izhikevich, E. M. (2006). Polychronization: computation with spikes. Neural Comput. 18, 245-282. doi: 10.1162/089976606775093882
    • (2006) Neural Comput. , vol.18 , pp. 245-282
    • Izhikevich, E.M.1
  • 18
    • 33846900838 scopus 로고    scopus 로고
    • Structural plasticity: Rewiring the brain
    • doi: 10.1016/j.cub.2006.12.022
    • Johansen-Berg, H. (2007). Structural plasticity: rewiring the brain. Curr. Biol. 17, R141-R144. doi: 10.1016/j.cub.2006.12.022
    • (2007) Curr. Biol. , vol.17
    • Johansen-Berg, H.1
  • 19
    • 40349098772 scopus 로고    scopus 로고
    • Development of neural circuitry for precise temporal sequences through spontaneous activity, axon remodeling, and synaptic plasticity
    • doi: 10.1371/journal.pone.0000723
    • Jun, J., and Jin, D. (2007). Development of neural circuitry for precise temporal sequences through spontaneous activity, axon remodeling, and synaptic plasticity. PLoS ONE 2:e723. doi: 10.1371/journal.pone.0000723
    • (2007) PLoS ONE , vol.2
    • Jun, J.1    Jin, D.2
  • 20
    • 84855214183 scopus 로고    scopus 로고
    • Limits to the development of feed-forward structures in large recurrent neuronal networks
    • doi: 10.3389/fncom.2010.00160
    • Kunkel, S., Diesmann, M., and Morrison, A. (2011). Limits to the development of feed-forward structures in large recurrent neuronal networks. Front. Comput. Neurosci. 4:160. doi: 10.3389/fncom.2010.00160
    • (2011) Front. Comput. Neurosci. , vol.4 , pp. 160
    • Kunkel, S.1    Diesmann, M.2    Morrison, A.3
  • 21
    • 77957343940 scopus 로고    scopus 로고
    • SORN: A self-organizing recurrent neural network
    • doi: 10.3389/neuro.10.023.2009
    • Lazar, A., Pipa, G., and Triesch, J. (2009). SORN: a self-organizing recurrent neural network. Front. Comput. Neurosci. 3:23. doi: 10.3389/neuro.10.023.2009
    • (2009) Front. Comput. Neurosci. , vol.3 , pp. 23
    • Lazar, A.1    Pipa, G.2    Triesch, J.3
  • 23
    • 58549118757 scopus 로고    scopus 로고
    • The excitatory neuronal network of the c2 barrel column in mouse primary somatosensory cortex
    • doi: 10.1016/j.neuron.2008.12.020
    • Lefort, S., Tomm, C., Sarria, J. C. F., and Petersen, C. C. H. (2009). The excitatory neuronal network of the c2 barrel column in mouse primary somatosensory cortex. Neuron 61, 301-316. doi: 10.1016/j.neuron.2008.12.020
    • (2009) Neuron , vol.61 , pp. 301-316
    • Lefort, S.1    Tomm, C.2    Sarria, J.C.F.3    Petersen, C.C.H.4
  • 24
    • 0034761668 scopus 로고    scopus 로고
    • Distributed synchrony in a cell assembly of spiking neurons
    • doi: 10.1016/S0893-6080(01)00044-2
    • Levy, N., Horn, D., Meilijson, I., and Ruppin, E. (2001). Distributed synchrony in a cell assembly of spiking neurons. Neural Netw. 14, 815-824. doi: 10.1016/S0893-6080(01)00044-2
    • (2001) Neural Netw. , vol.14 , pp. 815-824
    • Levy, N.1    Horn, D.2    Meilijson, I.3    Ruppin, E.4
  • 25
    • 33846053551 scopus 로고    scopus 로고
    • Sequential structure of neocortical spontaneous activity in vivo
    • doi: 10.1073/pnas.0605643104
    • Luczak, A., Bartho, P., Marguet, S. L., Buzsaki, G., and Harris, K. D. (2007). Sequential structure of neocortical spontaneous activity in vivo. Proc. Natl. Acad. Sci. U.S.A. 104, 347-352. doi: 10.1073/pnas.0605643104
    • (2007) Proc. Natl. Acad. Sci. U.S.A. , vol.104 , pp. 347-352
    • Luczak, A.1    Bartho, P.2    Marguet, S.L.3    Buzsaki, G.4    Harris, K.D.5
  • 26
    • 0035819076 scopus 로고    scopus 로고
    • Dynamics of spontaneous activity in neocortical slices
    • doi: 10.1016/S0896-6273(01)00518-9
    • Mao, B. Q., Hamzei-Sichani, F., Aronov, D., Froemke, R. C., and Yuste, R. (2001). Dynamics of spontaneous activity in neocortical slices. Neuron 32, 883-898. doi: 10.1016/S0896-6273(01)00518-9
    • (2001) Neuron , vol.32 , pp. 883-898
    • Mao, B.Q.1    Hamzei-Sichani, F.2    Aronov, D.3    Froemke, R.C.4    Yuste, R.5
  • 27
    • 0031012615 scopus 로고    scopus 로고
    • Regulation of synaptic efficacy by coincidence of postsynaptic aps and epsps
    • doi: 10.1126/science.275.5297.213
    • Markram, H., Lubke, J., Frotscher, M., and Sakmann, B. (1997). Regulation of synaptic efficacy by coincidence of postsynaptic aps and epsps. Science 275, 213-215. doi: 10.1126/science.275.5297.213
    • (1997) Science , vol.275 , pp. 213-215
    • Markram, H.1    Lubke, J.2    Frotscher, M.3    Sakmann, B.4
  • 28
    • 33748898872 scopus 로고    scopus 로고
    • Triplets of spikes in a model of spike timing-dependent plasticity
    • doi: 10.1523/JNEUROSCI.1425-06.2006
    • Pfister, J.-P., and Gerstner, W. (2006). Triplets of spikes in a model of spike timing-dependent plasticity. J. Neurosci. 26, 9673-9682. doi: 10.1523/JNEUROSCI.1425-06.2006
    • (2006) J. Neurosci. , vol.26 , pp. 9673-9682
    • Pfister, J.-P.1    Gerstner, W.2
  • 29
    • 0031820640 scopus 로고    scopus 로고
    • Spatiotemporal structure of cortical activity: Properties and behavioral relevance
    • Prut, Y., Vaadia, E., Bergman, H., Haalman, I., Slovin, H., and Abeles, M. (1998). Spatiotemporal structure of cortical activity: Properties and behavioral relevance. J. Neurophysiol. 79, 2857-2874.
    • (1998) J. Neurophysiol. , vol.79 , pp. 2857-2874
    • Prut, Y.1    Vaadia, E.2    Bergman, H.3    Haalman, I.4    Slovin, H.5    Abeles, M.6
  • 30
    • 33751239741 scopus 로고    scopus 로고
    • Temporally precise cortical firing patterns are associated with distinct action segments
    • doi: 10.1152/jn.00798.2005
    • Shmiel, T., Drori, R., Shmiel, O., Ben-Shaul, Y., Nadasdy, Z., Shemesh, M., et al. (2006). Temporally precise cortical firing patterns are associated with distinct action segments. J. Neurophysiol. 96, 2645-2652. doi: 10.1152/jn.00798.2005
    • (2006) J. Neurophysiol. , vol.96 , pp. 2645-2652
    • Shmiel, T.1    Drori, R.2    Shmiel, O.3    Ben-Shaul, Y.4    Nadasdy, Z.5    Shemesh, M.6
  • 31
    • 18044383304 scopus 로고    scopus 로고
    • Highly nonrandom features of synaptic connectivity in local cortical circuits
    • doi: 10.1371/journal.pbio.0030350
    • Song, S., Sjostrom, P. J., Reigl, M., Nelson, S., and Chklovskii, D. B. (2005). Highly nonrandom features of synaptic connectivity in local cortical circuits. PLoS Biol. 3:e350. doi: 10.1371/journal.pbio.0030350
    • (2005) PLoS Biol. , vol.3
    • Song, S.1    Sjostrom, P.J.2    Reigl, M.3    Nelson, S.4    Chklovskii, D.B.5
  • 32
    • 0032567928 scopus 로고    scopus 로고
    • Activity-dependent scaling of quantal amplitude in neocortical neurons
    • doi: 10.1038/36103
    • Turrigiano, G. G., Leslie, K. R., Desai, N. S., Rutherford, L. C., and Nelson, S. B. (1998). Activity-dependent scaling of quantal amplitude in neocortical neurons. Nature 391, 892-896. doi: 10.1038/36103
    • (1998) Nature , vol.391 , pp. 892-896
    • Turrigiano, G.G.1    Leslie, K.R.2    Desai, N.S.3    Rutherford, L.C.4    Nelson, S.B.5
  • 33
    • 84879898707 scopus 로고    scopus 로고
    • Inhibitory synaptic plasticity: Spike timing-dependence and putative network function
    • doi: 10.3389/fncir.2013.00119
    • Vogels, T. P., Froemke, R. C., Doyon, N., Gilson, M., Haas, J. S., Liu, R., et al. (2013). Inhibitory synaptic plasticity: spike timing-dependence and putative network function. Front. Neural Circuits 7:119. doi: 10.3389/fncir.2013.00119
    • (2013) Front. Neural Circuits , vol.7 , pp. 119
    • Vogels, T.P.1    Froemke, R.C.2    Doyon, N.3    Gilson, M.4    Haas, J.S.5    Liu, R.6
  • 34
    • 83755181763 scopus 로고    scopus 로고
    • Inhibitory plasticity balances excitation and inhibition in sensory pathways and memory networks
    • doi: 10.1126/science.1211095
    • Vogels, T. P., Sprekeler, H., Zenke, F., Clopath, C., and Gerstner, W. (2011). Inhibitory plasticity balances excitation and inhibition in sensory pathways and memory networks. Science 334, 1569-1573. doi: 10.1126/science.1211095
    • (2011) Science , vol.334 , pp. 1569-1573
    • Vogels, T.P.1    Sprekeler, H.2    Zenke, F.3    Clopath, C.4    Gerstner, W.5
  • 35
    • 85088717592 scopus 로고    scopus 로고
    • Triphasic spike-timing-dependent plasticity organizes networks to produce robust sequences of neural activity
    • doi: 10.3389/fncom.2012.00088
    • Waddington, A., Appleby, P. A., De Kamps, M., and Cohen, N. (2012). Triphasic spike-timing-dependent plasticity organizes networks to produce robust sequences of neural activity. Front. Comput. Neurosci. 6:88. doi: 10.3389/fncom.2012.00088
    • (2012) Front. Comput. Neurosci. , vol.6 , pp. 88
    • Waddington, A.1    Appleby, P.A.2    De Kamps, M.3    Cohen, N.4
  • 36
    • 33646191268 scopus 로고    scopus 로고
    • A faster algorithm for detecting network motifs
    • doi: 10.1007/11557067-14
    • Wernicke, S. (2005). A faster algorithm for detecting network motifs. Allgorithms Bioniform. Proc. 3692, 165-177. doi: 10.1007/11557067-14
    • (2005) Allgorithms Bioniform. Proc. , vol.3692 , pp. 165-177
    • Wernicke, S.1
  • 37
    • 58149387084 scopus 로고    scopus 로고
    • Principles of long-term dynamics of dendritic spines
    • doi: 10.1523/JNEUROSCI.0603-08.2008
    • Yasumatsu, N., Matsuzaki, M., Miyazaki, T., Noguchi, J., and Kasai, H. (2008). Principles of long-term dynamics of dendritic spines. J. Neurosci. 28, 13592-13608. doi: 10.1523/JNEUROSCI.0603-08.2008
    • (2008) J. Neurosci. , vol.28 , pp. 13592-13608
    • Yasumatsu, N.1    Matsuzaki, M.2    Miyazaki, T.3    Noguchi, J.4    Kasai, H.5
  • 38
    • 0242300203 scopus 로고    scopus 로고
    • The other side of the engram: Experience-driven changes in neuronal intrinsic excitability
    • doi: 10.1038/nrn1248
    • Zhang, W., and Linden, D. J. (2003). The other side of the engram: experience-driven changes in neuronal intrinsic excitability. Nat. Rev. Neurosci. 4, 885-900. doi: 10.1038/nrn1248
    • (2003) Nat. Rev. Neurosci. , vol.4 , pp. 885-900
    • Zhang, W.1    Linden, D.J.2
  • 39
    • 84873511304 scopus 로고    scopus 로고
    • Network self-organization explains the statistics and dynamics of synaptic connection strengths in cortex
    • doi: 10.1371/journal.pcbi.1002848
    • Zheng, P., Dimitrakakis, C., and Triesch, J. (2013). Network self-organization explains the statistics and dynamics of synaptic connection strengths in cortex. PLoS Comput. Biol. 9:e1002848. doi: 10.1371/journal.pcbi.1002848
    • (2013) PLoS Comput. Biol. , vol.9
    • Zheng, P.1    Dimitrakakis, C.2    Triesch, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.