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Volumn 12, Issue 2, 2016, Pages

Erratum: Plasticity-Driven Self-Organization under Topological Constraints Accounts for Non-random Features of Cortical Synaptic Wiring (PLoS Comput Biol (2016) 12:2 (e1004759) DOI: 10.1371/journal.pcbi.1004759);Plasticity-Driven Self-Organization under Topological Constraints Accounts for Non-random Features of Cortical Synaptic Wiring

Author keywords

[No Author keywords available]

Indexed keywords

PLASTICITY; RANDOM PROCESSES;

EID: 84959480311     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/JOURNAL.PCBI.1004810     Document Type: Erratum
Times cited : (46)

References (55)
  • 1
    • 80053898467 scopus 로고    scopus 로고
    • Stability versus neuronal specialization for STDP: long-tail weight distributions solve the dilemma
    • 22003389, ().:.
    • Gilson M, Fukai T, (2011) Stability versus neuronal specialization for STDP: long-tail weight distributions solve the dilemma. PloS one6: e25339. doi: 10.1371/journal.pone.002533922003389
    • (2011) PloS one , vol.6 , pp. e25339
    • Gilson, M.1    Fukai, T.2
  • 2
    • 0037180796 scopus 로고    scopus 로고
    • Long-term dendritic spine stability in the adult cortex
    • 12490949, ().
    • Grutzendler J, Kasthuri N, Gan W, (2002) Long-term dendritic spine stability in the adult cortex. Nature420. doi: 10.1038/nature0127612490949
    • (2002) Nature , vol.420
    • Grutzendler, J.1    Kasthuri, N.2    Gan, W.3
  • 3
    • 0037180832 scopus 로고    scopus 로고
    • Long-term in vivo imaging of experience-dependent synaptic plasticity in adult cortex
    • 12490942, . ().:–.
    • Trachtenberg JT, Chen BE, Knott GW, Feng G, Sanes JR, et al. (2002) Long-term in vivo imaging of experience-dependent synaptic plasticity in adult cortex. Nature420: 788–94. doi: 10.1038/nature0127312490942
    • (2002) Nature , vol.420 , pp. 788-794
    • Trachtenberg, J.T.1    Chen, B.E.2    Knott, G.W.3    Feng, G.4    Sanes, J.R.5
  • 4
    • 0030839124 scopus 로고    scopus 로고
    • A network of tufted layer 5 pyramidal neurons
    • ().:–.
    • Markram H, (1997) A network of tufted layer 5 pyramidal neurons. Cerebral cortex (New York, NY: 1991)7: 523–33.
    • (1997) Cerebral cortex (New York, NY: 1991) , vol.7 , pp. 523-533
    • Markram, H.1
  • 6
    • 18044383304 scopus 로고    scopus 로고
    • Highly nonrandom features of synaptic connectivity in local cortical circuits
    • 15737062, ().:.
    • Song S, Sjöström PJ, Reigl M, Nelson S, Chklovskii DB, (2005) Highly nonrandom features of synaptic connectivity in local cortical circuits. PLoS biology3: e68. doi: 10.1371/journal.pbio.003006815737062
    • (2005) PLoS biology , vol.3 , pp. e68
    • Song, S.1    Sjöström, P.J.2    Reigl, M.3    Nelson, S.4    Chklovskii, D.B.5
  • 7
    • 0024473444 scopus 로고
    • Dendritic spines of CA 1 pyramidal cells in the rat hippocampus: serial electron microscopy with reference to their biophysical characteristics
    • ().:–.
    • Harris KM, Stevens JK, (1989) Dendritic spines of CA 1 pyramidal cells in the rat hippocampus: serial electron microscopy with reference to their biophysical characteristics. The Journal of neuroscience: the official journal of the Society for Neuroscience9: 2982–97.
    • (1989) The Journal of neuroscience: the official journal of the Society for Neuroscience , vol.9 , pp. 2982-2997
    • Harris, K.M.1    Stevens, J.K.2
  • 8
    • 0027511788 scopus 로고
    • Quantal analysis and synaptic anatomy–integrating two views of hippocampal plasticity
    • 7682347, ().:–.
    • Lisman JE, Harris KM, (1993) Quantal analysis and synaptic anatomy–integrating two views of hippocampal plasticity. Trends in neurosciences16: 141–7. 7682347
    • (1993) Trends in neurosciences , vol.16 , pp. 141-147
    • Lisman, J.E.1    Harris, K.M.2
  • 9
    • 0027743348 scopus 로고
    • Large, deep layer pyramid-pyramid single axon EPSPs in slices of rat motor cortex display paired pulse and frequency-dependent depression, mediated presynaptically and self-facilitation, mediated postsynaptically
    • 8120587, ().:–.
    • Thomson AM, Deuchars J, West DC, (1993) Large, deep layer pyramid-pyramid single axon EPSPs in slices of rat motor cortex display paired pulse and frequency-dependent depression, mediated presynaptically and self-facilitation, mediated postsynaptically. Journal of neurophysiology70: 2354–69. 8120587
    • (1993) Journal of neurophysiology , vol.70 , pp. 2354-2369
    • Thomson, A.M.1    Deuchars, J.2    West, D.C.3
  • 11
    • 77957343940 scopus 로고    scopus 로고
    • SORN: a self-organizing recurrent neural network
    • 19893759, ().:.
    • Lazar A, Pipa G, Triesch J, (2009) SORN: a self-organizing recurrent neural network. Frontiers in computational neuroscience3: 23. doi: 10.3389/neuro.10.023.200919893759
    • (2009) Frontiers in computational neuroscience , vol.3 , pp. 23
    • Lazar, A.1    Pipa, G.2    Triesch, J.3
  • 12
    • 77954576671 scopus 로고    scopus 로고
    • Independent component analysis in spiking neurons
    • 20421937, ().:.
    • Savin C, Joshi P, Triesch J, (2010) Independent component analysis in spiking neurons. PLoS computational biology6: e1000757. doi: 10.1371/journal.pcbi.100075720421937
    • (2010) PLoS computational biology , vol.6 , pp. e1000757
    • Savin, C.1    Joshi, P.2    Triesch, J.3
  • 13
    • 84861214556 scopus 로고    scopus 로고
    • Synaptic scaling in combination with many generic plasticity mechanisms stabilizes circuit connectivity
    • ().:–.
    • Tetzlaff C, Kolodziejski C, Timme M, Wörgötter F, (2011) Synaptic scaling in combination with many generic plasticity mechanisms stabilizes circuit connectivity. Frontiers in Computational Neuroscience5: 1–15. doi: 10.3389/fncom.2011.00047
    • (2011) Frontiers in Computational Neuroscience , vol.5 , pp. 1-15
    • Tetzlaff, C.1    Kolodziejski, C.2    Timme, M.3    Wörgötter, F.4
  • 14
    • 84879162431 scopus 로고    scopus 로고
    • Analysis of Synaptic Scaling in Combination with Hebbian Plasticity in Several Simple Networks
    • ().:–.
    • Tetzlaff C, Kolodziejski C, Timme M, Wörgötter F, (2012) Analysis of Synaptic Scaling in Combination with Hebbian Plasticity in Several Simple Networks. Frontiers in Computational Neuroscience6: 1–17. doi: 10.3389/fncom.2012.00036
    • (2012) Frontiers in Computational Neuroscience , vol.6 , pp. 1-17
    • Tetzlaff, C.1    Kolodziejski, C.2    Timme, M.3    Wörgötter, F.4
  • 17
    • 84953297303 scopus 로고    scopus 로고
    • Where’s the noise? key features of neuronal variability and inference emerge from self-organized learning
    • 26714277, ().:.
    • Hartmann C, Lazar A, Triesch J, (2015) Where’s the noise? key features of neuronal variability and inference emerge from self-organized learning. PLoS computational biology11: e1004640. doi: 10.1371/journal.pcbi.100464026714277
    • (2015) PLoS computational biology , vol.11 , pp. e1004640
    • Hartmann, C.1    Lazar, A.2    Triesch, J.3
  • 18
    • 84873511304 scopus 로고    scopus 로고
    • Network self-organization explains the statistics and dynamics of synaptic connection strengths in cortex
    • 23300431, ().:.
    • Zheng P, Dimitrakakis C, Triesch J, (2013) Network self-organization explains the statistics and dynamics of synaptic connection strengths in cortex. PLoS computational biology9: e1002848. doi: 10.1371/journal.pcbi.100284823300431
    • (2013) PLoS computational biology , vol.9 , pp. e1002848
    • Zheng, P.1    Dimitrakakis, C.2    Triesch, J.3
  • 19
    • 67649960075 scopus 로고    scopus 로고
    • Long-term relationships between synaptic tenacity, synaptic remodeling, and network activity
    • 19554080, . ().:.
    • Minerbi A, Kahana R, Goldfeld L, Kaufman M, Marom S, et al. (2009) Long-term relationships between synaptic tenacity, synaptic remodeling, and network activity. PLoS biology7: e1000136. doi: 10.1371/journal.pbio.100013619554080
    • (2009) PLoS biology , vol.7 , pp. e1000136
    • Minerbi, A.1    Kahana, R.2    Goldfeld, L.3    Kaufman, M.4    Marom, S.5
  • 20
    • 0036716478 scopus 로고    scopus 로고
    • Synaptic connections and small circuits involving excitatory and inhibitory neurons in layers 2–5 of adult rat and cat neocortex: triple intracellular recordings and biocytin labelling in vitro
    • ().:–.
    • Thomson AM, West DC, Wang Y, Bannister aP, (2002) Synaptic connections and small circuits involving excitatory and inhibitory neurons in layers 2–5 of adult rat and cat neocortex: triple intracellular recordings and biocytin labelling in vitro. Cerebral cortex (New York, NY: 1991)12: 936–53.
    • (2002) Cerebral cortex (New York, NY: 1991) , vol.12 , pp. 936-953
    • Thomson, A.M.1    West, D.C.2    Wang, Y.3    Bannister, P.4
  • 21
    • 84885847922 scopus 로고    scopus 로고
    • Brian: a simulator for spiking neural networks in python
    • 19115011, ().:.
    • Goodman D, Brette R, (2008) Brian: a simulator for spiking neural networks in python. Frontiers in neuroinformatics2: 5. doi: 10.3389/neuro.11.005.200819115011
    • (2008) Frontiers in neuroinformatics , vol.2 , pp. 5
    • Goodman, D.1    Brette, R.2
  • 23
    • 0036201201 scopus 로고    scopus 로고
    • Short-term synaptic plasticity
    • 11826273, ().:–.
    • Zucker RS, Regehr WG, (2002) Short-term synaptic plasticity. Annual Review of Physiology64: 355–405. doi: 10.1146/annurev.physiol.64.092501.11454711826273
    • (2002) Annual Review of Physiology , vol.64 , pp. 355-405
    • Zucker, R.S.1    Regehr, W.G.2
  • 24
    • 0032535029 scopus 로고    scopus 로고
    • Synaptic modifications in cultured hippocampal neurons: dependence on spike timing, synaptic strength, and postsynaptic cell type
    • ().:–.
    • Bi GQ, Poo MM, (1998) Synaptic modifications in cultured hippocampal neurons: dependence on spike timing, synaptic strength, and postsynaptic cell type. The Journal of neuroscience: the official journal of the Society for Neuroscience18: 10464–72.
    • (1998) The Journal of neuroscience: the official journal of the Society for Neuroscience , vol.18 , pp. 10464-10472
    • Bi, G.Q.1    Poo, M.M.2
  • 25
    • 85016693217 scopus 로고    scopus 로고
    • Spike-timing-dependent synaptic plasticity depends on dendritic location
    • ().:–.
    • Froemke R, Poo Mm, Dan Y, (2005) Spike-timing-dependent synaptic plasticity depends on dendritic location. Nature2033: 2032–2033.
    • (2005) Nature , vol.2033 , pp. 2032-2033
    • Froemke, R.1    Poo, M.2    Dan, Y.3
  • 26
    • 0029821128 scopus 로고    scopus 로고
    • A neuronal learning rule for sub-millisecond temporal coding
    • ().:–.
    • Gerstner W, Kempter R, van Hemmen J L, Wagner H, (1996) A neuronal learning rule for sub-millisecond temporal coding. Nature383: 76–78. doi: 10.1038/383076a0
    • (1996) Nature , vol.383 , pp. 76-78
    • Gerstner, W.1    Kempter, R.2    van Hemmen, J.L.3    Wagner, H.4
  • 27
    • 0000442118 scopus 로고    scopus 로고
    • Hebbian learning and spiking neurons
    • ().:–.
    • Kempter R, Gerstner W, van Hemmen J, (1999) Hebbian learning and spiking neurons. Physical Review E59: 4498–4514. doi: 10.1103/PhysRevE.59.4498
    • (1999) Physical Review E , vol.59 , pp. 4498-4514
    • Kempter, R.1    Gerstner, W.2    van Hemmen, J.3
  • 28
    • 0033860923 scopus 로고    scopus 로고
    • Competitive Hebbian learning through spike-timing-dependent synaptic plasticity
    • 10966623, ().:–.
    • Song S, Miller KD, Abbott LF, (2000) Competitive Hebbian learning through spike-timing-dependent synaptic plasticity. Nature neuroscience3: 919–26. doi: 10.1038/7882910966623
    • (2000) Nature neuroscience , vol.3 , pp. 919-926
    • Song, S.1    Miller, K.D.2    Abbott, L.F.3
  • 29
    • 0032480332 scopus 로고    scopus 로고
    • A critical window for cooperation and competition among developing retinotectal synapses
    • 9738497, ().:–.
    • Zhang LI, Tao HW, Holt CE, Harris WA, Poo Mm, (1998) A critical window for cooperation and competition among developing retinotectal synapses. Nature395: 37–44. doi: 10.1038/256659738497
    • (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
  • 30
    • 40849138306 scopus 로고    scopus 로고
    • Rapid synaptic scaling induced by changes in postsynaptic firing
    • 18367083, ().:–.
    • Ibata K, Sun Q, Turrigiano GG, (2008) Rapid synaptic scaling induced by changes in postsynaptic firing. Neuron57: 819–26. doi: 10.1016/j.neuron.2008.02.03118367083
    • (2008) Neuron , vol.57 , pp. 819-826
    • Ibata, K.1    Sun, Q.2    Turrigiano, G.G.3
  • 31
    • 0032567928 scopus 로고    scopus 로고
    • Activity-dependent scaling of quantal amplitude in neocortical neurons
    • 9495341, ().:–.
    • Turrigiano GG, Leslie KR, Desai NS, Rutherford LC, Nelson SB, (1998) Activity-dependent scaling of quantal amplitude in neocortical neurons. Nature391: 892–6. doi: 10.1038/361039495341
    • (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
    • 0141749203 scopus 로고    scopus 로고
    • A universal model for spike-frequency adaptation
    • 14577853, ().:–.
    • Benda J, Herz AVM, (2003) A universal model for spike-frequency adaptation. Neural computation15: 2523–64. doi: 10.1162/08997660332238506314577853
    • (2003) Neural computation , vol.15 , pp. 2523-2564
    • Benda, J.1    Herz, A.V.M.2
  • 34
    • 0033360297 scopus 로고    scopus 로고
    • Plasticity in the intrinsic excitability of cortical pyramidal neurons
    • 10448215, ().:–.
    • Desai NS, Rutherford LC, Turrigiano GG, (1999) Plasticity in the intrinsic excitability of cortical pyramidal neurons. Nature neuroscience2: 515–20. doi: 10.1038/916510448215
    • (1999) Nature neuroscience , vol.2 , pp. 515-520
    • Desai, N.S.1    Rutherford, L.C.2    Turrigiano, G.G.3
  • 35
    • 0242300203 scopus 로고    scopus 로고
    • The other side of the engram: experience-driven changes in neuronal intrinsic excitability
    • 14595400, ().:–.
    • Zhang W, Linden DJ, (2003) The other side of the engram: experience-driven changes in neuronal intrinsic excitability. Nature reviews Neuroscience4: 885–900. doi: 10.1038/nrn124814595400
    • (2003) Nature reviews Neuroscience , vol.4 , pp. 885-900
    • Zhang, W.1    Linden, D.J.2
  • 36
    • 79959927449 scopus 로고    scopus 로고
    • Multiplicative dynamics underlie the emergence of the log-normal distribution of spine sizes in the neocortex in vivo
    • ().:–.
    • Loewenstein Y, Kuras A, Rumpel S, (2011) Multiplicative dynamics underlie the emergence of the log-normal distribution of spine sizes in the neocortex in vivo. The Journal of neuroscience: the official journal of the Society for Neuroscience31: 9481–8. doi: 10.1523/JNEUROSCI.6130-10.2011
    • (2011) The Journal of neuroscience: the official journal of the Society for Neuroscience , vol.31 , pp. 9481-9488
    • Loewenstein, Y.1    Kuras, A.2    Rumpel, S.3
  • 37
    • 84908323011 scopus 로고    scopus 로고
    • Synaptic Size Dynamics as an Effectively Stochastic Process
    • 25275505, ().:.
    • Statman A, Kaufman M, Minerbi A, Ziv NE, Brenner N, (2014) Synaptic Size Dynamics as an Effectively Stochastic Process. PLoS computational biology10: e1003846. doi: 10.1371/journal.pcbi.100384625275505
    • (2014) PLoS computational biology , vol.10 , pp. e1003846
    • Statman, A.1    Kaufman, M.2    Minerbi, A.3    Ziv, N.E.4    Brenner, N.5
  • 38
    • 84941241695 scopus 로고    scopus 로고
    • Predicting the Dynamics of Network Connectivity in the Neocortex
    • 26354919, ().:–.
    • Loewenstein Y, Yanover U, Rumpel S, (2015) Predicting the Dynamics of Network Connectivity in the Neocortex. Journal of Neuroscience35: 12535–12544. doi: 10.1523/JNEUROSCI.2917-14.201526354919
    • (2015) Journal of Neuroscience , vol.35 , pp. 12535-12544
    • Loewenstein, Y.1    Yanover, U.2    Rumpel, S.3
  • 39
    • 67249148362 scopus 로고    scopus 로고
    • Swart PJ (2008) Exploring network structure, dynamics, and function using NetworkX
    • Hagberg AA, Schult DA, Swart PJ (2008) Exploring network structure, dynamics, and function using NetworkX. In: Proceedings of the 7th Python in Science Conference (SciPy2008). Pasadena, CA USA, pp. 11–15.
    • Hagberg, A.A.1    Schult, D.A.2
  • 40
    • 85026967328 scopus 로고    scopus 로고
    • Levenson A, van Liere D (2011). triadic census.
    • Levenson A, van Liere D (2011). triadic census. https://networkx.lanl.gov/trac/ticket/190.
  • 41
    • 85026963210 scopus 로고    scopus 로고
    • Software A (2012). GraphClick.
    • Software A (2012). GraphClick. http://www.arizona-software.ch/graphclick/.
  • 42
    • 84935865748 scopus 로고    scopus 로고
    • The effects of neuron morphology on graph theoretic measures of network connectivity: the analysis of a two-level statistical model
    • 26113811, ().
    • Aćimović J, Mäki-Marttunen T, Linne ML, (2015) The effects of neuron morphology on graph theoretic measures of network connectivity: the analysis of a two-level statistical model. Frontiers in Neuroanatomy9. doi: 10.3389/fnana.2015.0007626113811
    • (2015) Frontiers in Neuroanatomy , vol.9
    • Aćimović, J.1    Mäki-Marttunen, T.2    Linne, M.L.3
  • 43
    • 64849111400 scopus 로고    scopus 로고
    • Correlated Connectivity and the Distribution of Firing Rates in the Neocortex
    • 19321765, ().:–.
    • Koulakov aa, Hromadka T, Zador aM, (2009) Correlated Connectivity and the Distribution of Firing Rates in the Neocortex. Journal of Neuroscience29: 3685–3694. doi: 10.1523/JNEUROSCI.4500-08.200919321765
    • (2009) Journal of Neuroscience , vol.29 , pp. 3685-3694
    • Koulakov1    Hromadka, T.2    Zador, M.3
  • 45
    • 84938630123 scopus 로고    scopus 로고
    • A Diffusive Homeostatic Signal Maintains Neural Heterogeneity and Responsiveness in Cortical Networks
    • 26158556, ().:.
    • Sweeney Y, Hellgren Kotaleski J, Hennig MH, (2015) A Diffusive Homeostatic Signal Maintains Neural Heterogeneity and Responsiveness in Cortical Networks. PLOS Computational Biology11: e1004389. doi: 10.1371/journal.pcbi.100438926158556
    • (2015) PLOS Computational Biology , vol.11 , pp. e1004389
    • Sweeney, Y.1    Hellgren Kotaleski, J.2    Hennig, M.H.3
  • 46
    • 84908666578 scopus 로고    scopus 로고
    • Slicing, sampling, and distance-dependent effects affect network measures in simulated cortical circuit structures
    • ().:–.
    • Miner DC, Triesch J, (2014) Slicing, sampling, and distance-dependent effects affect network measures in simulated cortical circuit structures. Frontiers in Neuroanatomy8: 1–9. doi: 10.3389/fnana.2014.00125
    • (2014) Frontiers in Neuroanatomy , vol.8 , pp. 1-9
    • Miner, D.C.1    Triesch, J.2
  • 47
    • 77957017889 scopus 로고    scopus 로고
    • Semi-automated reconstruction of neural circuits using electron microscopy
    • 20833533, ().:–.
    • Chklovskii DB, Vitaladevuni S, Scheffer LK, (2010) Semi-automated reconstruction of neural circuits using electron microscopy. Current Opinion in Neurobiology20: 667–675. doi: 10.1016/j.conb.2010.08.00220833533
    • (2010) Current Opinion in Neurobiology , vol.20 , pp. 667-675
    • Chklovskii, D.B.1    Vitaladevuni, S.2    Scheffer, L.K.3
  • 49
    • 84864010311 scopus 로고    scopus 로고
    • Excitatory, Inhibitory, and Structural Plasticity Produce Correlated Connectivity in Random Networks Trained to Solve Paired-Stimulus Tasks
    • ().:–.
    • Bourjaily MA, Miller P, (2011) Excitatory, Inhibitory, and Structural Plasticity Produce Correlated Connectivity in Random Networks Trained to Solve Paired-Stimulus Tasks. Frontiers in Computational Neuroscience5: 1–24. doi: 10.3389/fncom.2011.00037
    • (2011) Frontiers in Computational Neuroscience , vol.5 , pp. 1-24
    • Bourjaily, M.A.1    Miller, P.2
  • 51
    • 77649152514 scopus 로고    scopus 로고
    • Connectivity reflects coding: a model of voltage-based STDP with homeostasis
    • 20098420, ().:–.
    • Clopath C, Büsing L, Vasilaki E, Gerstner W, (2010) Connectivity reflects coding: a model of voltage-based STDP with homeostasis. Nature neuroscience13: 344–52. doi: 10.1038/nn.247920098420
    • (2010) Nature neuroscience , vol.13 , pp. 344-352
    • Clopath, C.1    Büsing, L.2    Vasilaki, E.3    Gerstner, W.4
  • 52
    • 0029835892 scopus 로고    scopus 로고
    • Chaos in neuronal networks with balanced excitatory and inhibitory activity
    • ().:–.
    • van Vreeswijk C, Sompolinsky H, (1996) Chaos in neuronal networks with balanced excitatory and inhibitory activity. Science (New York, NY)274: 1724–6. doi: 10.1126/science.274.5293.1724
    • (1996) Science (New York, NY) , vol.274 , pp. 1724-1726
    • van Vreeswijk, C.1    Sompolinsky, H.2
  • 53
    • 68649088777 scopus 로고    scopus 로고
    • Reservoir computing approaches to recurrent neural network training
    • ().:–.
    • Lukoševičius M, Jaeger H, (2009) Reservoir computing approaches to recurrent neural network training. Computer Science Review3: 127–149. doi: 10.1016/j.cosrev.2009.03.005
    • (2009) Computer Science Review , vol.3 , pp. 127-149
    • Lukoševičius, M.1    Jaeger, H.2
  • 54
    • 84938877260 scopus 로고    scopus 로고
    • The Use of Hebbian Cell Assemblies for Nonlinear Computation
    • 26249242, ().:.
    • Tetzlaff C, Dasgupta S, Kulvicius T, Wörgötter F, (2015) The Use of Hebbian Cell Assemblies for Nonlinear Computation. Scientific Reports5: 12866. doi: 10.1038/srep1286626249242
    • (2015) Scientific Reports , vol.5 , pp. 12866
    • Tetzlaff, C.1    Dasgupta, S.2    Kulvicius, T.3    Wörgötter, F.4


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