메뉴 건너뛰기




Volumn 4, Issue , 2010, Pages

Optimal hierarchical modular topologies for producing limited sustained activation of neural networks

Author keywords

Brain connectivity; Cerebral cortex; Functional criticality; Modularity; Neural dynamics; Neural networks

Indexed keywords

ANIMAL CELL; ANIMAL TISSUE; ARTICLE; BIOINFORMATICS; BRAIN CORTEX; BRAIN FUNCTION; BRAIN TISSUE; CAT; CONTROLLED STUDY; DENSITY; HEMISPHERE; MATHEMATICAL ANALYSIS; MONKEY; NERVE CELL NETWORK; NONHUMAN; RAT;

EID: 77953474234     PISSN: 16625196     EISSN: None     Source Type: Journal    
DOI: 10.3389/fninf.2010.00008     Document Type: Article
Times cited : (96)

References (67)
  • 1
    • 0036013593 scopus 로고    scopus 로고
    • Statistical mechanics of complex networks
    • Albert, R., and Barabási, A.-L. (2002). Statistical mechanics of complex networks. Rev. Mod. Phys. 74, 47-97.
    • (2002) Rev. Mod. Phys , vol.74 , pp. 47-97
    • Albert, R.1    Barabási, A.-L.2
  • 2
    • 5844290410 scopus 로고
    • Self-organized criticality: An explanation of the 1/f noise
    • Bak, P., Tang, C., and Wiesenfeld, K. (1987). Self-organized criticality: an explanation of the 1/f noise. Phys. Rev. Lett. 59, 381-384.
    • (1987) Phys. Rev. Lett , vol.59 , pp. 381-384
    • Bak, P.1    Tang, C.2    Wiesenfeld, K.3
  • 3
    • 0348010295 scopus 로고    scopus 로고
    • Neuronal avalanches in neocortical circuits
    • Beggs, J. M., and Plenz, D. (2003). Neuronal avalanches in neocortical circuits. J. Neurosci. 23, 11167-11177.
    • (2003) J. Neurosci , vol.23 , pp. 11167-11177
    • Beggs, J.M.1    Plenz, D.2
  • 4
    • 2942552269 scopus 로고    scopus 로고
    • Real-time computation at the edge of chaos in recurrent neural networks
    • Bertschinger, N., and Natschläger, T. (2004). Real-time computation at the edge of chaos in recurrent neural networks. Neural. Comput. 16, 1413-1436.
    • (2004) Neural. Comput , vol.16 , pp. 1413-1436
    • Bertschinger, N.1    Natschläger, T.2
  • 5
    • 4744358521 scopus 로고    scopus 로고
    • A quantitative map of the circuit of cat primary visual cortex
    • Binzegger, T., Douglas, R. J., and Martin, K. A. C. (2004). A quantitative map of the circuit of cat primary visual cortex. J. Neurosci. 24, 8441-8453.
    • (2004) J. Neurosci , vol.24 , pp. 8441-8453
    • Binzegger, T.1    Douglas, R.J.2    Martin, K.A.C.3
  • 7
    • 0034728117 scopus 로고    scopus 로고
    • Analysis of the connectional organization of neural systems associated with the hippocampus in rats
    • Burns, G. A. P. C., and Young, M. P. (2000). Analysis of the connectional organization of neural systems associated with the hippocampus in rats. Philos. Trans. R. Soc. Lond., B, Biol. Sci. 355, 55-70.
    • (2000) Philos. Trans. R. Soc. Lond., B, Biol. Sci , vol.355 , pp. 55-70
    • Burns, G.A.P.C.1    Young, M.P.2
  • 8
    • 0035292635 scopus 로고    scopus 로고
    • Principles underlying mammalian neocortical scaling
    • Changizi, M. A. (2001). Principles underlying mammalian neocortical scaling. Biol. Cybern. 84, 207-215.
    • (2001) Biol. Cybern , vol.84 , pp. 207-215
    • Changizi, M.A.1
  • 9
    • 23844531029 scopus 로고    scopus 로고
    • Parcellation and area-area connectivity as a function of neocortex size. Brain Behav
    • Changizi, M. A., and Shimojo, S. (2005). Parcellation and area-area connectivity as a function of neocortex size. Brain Behav. Evol. 66, 88-98.
    • (2005) Evol , vol.66 , pp. 88-98
    • Changizi, M.A.1    Shimojo, S.2
  • 10
    • 33947724499 scopus 로고    scopus 로고
    • Characterization of complex networks: A survey of measurements
    • Costa, L. F., Rodrigues, F. A., Travieso, G., and Villas Boas, P. R. (2007). Characterization of complex networks: a survey of measurements. Adv. Phys. 56, 167-242.
    • (2007) Adv. Phys , vol.56 , pp. 167-242
    • Costa, L.F.1    Rodrigues, F.A.2    Travieso, G.3    Villas Boas, P.R.4
  • 11
    • 44349113067 scopus 로고    scopus 로고
    • Mapping the matrix: The ways of neocortex
    • Douglas, R. J., and Martin, K. A. C. (2007). Mapping the matrix: the ways of neocortex. Neuron 56, 226-238.
    • (2007) Neuron , vol.56 , pp. 226-238
    • Douglas, R.J.1    Martin, K.A.C.2
  • 12
    • 0019216671 scopus 로고
    • The parcellation theory and its relation to interspecific variability in brain organization, evolutionary and ontogenetic development, and neuronal plasticity
    • Ebbesson, S. O. E. (1980). The parcellation theory and its relation to interspecific variability in brain organization, evolutionary and ontogenetic development, and neuronal plasticity. Cell Tissue Res. 213, 179-212.
    • (1980) Cell Tissue Res , vol.213 , pp. 179-212
    • Ebbesson, S.O.E.1
  • 14
    • 0025718412 scopus 로고
    • Distributed hierarchical processing in the primate cerebral cortex
    • Felleman, D. J., and van Essen, D. C. (1991). Distributed hierarchical processing in the primate cerebral cortex. Cereb. Cortex 1, 1-47.
    • (1991) Cereb. Cortex , vol.1 , pp. 1-47
    • Felleman, D.J.1    van Essen, D.C.2
  • 15
    • 0033981255 scopus 로고    scopus 로고
    • Spatial spectral analysis of human electrocorticograms including the alpha and gamma bands
    • Freeman, W. J., Rogers, L. J., Holmes, M. D., and Silbergeld, D. L. (2000). Spatial spectral analysis of human electrocorticograms including the alpha and gamma bands. J. Neurosci. Methods 95, 111-121.
    • (2000) J. Neurosci. Methods , vol.95 , pp. 111-121
    • Freeman, W.J.1    Rogers, L.J.2    Holmes, M.D.3    Silbergeld, D.L.4
  • 16
    • 18144382578 scopus 로고    scopus 로고
    • Critical branching captures activity in living neural networks and maximizes the number of metastable States
    • Haldeman, C., and Beggs, J. M. (2005). Critical branching captures activity in living neural networks and maximizes the number of metastable States. Phys. Rev. Lett. 94, 058101.
    • (2005) Phys. Rev. Lett , vol.94 , pp. 058101
    • Haldeman, C.1    Beggs, J.M.2
  • 17
    • 0034133757 scopus 로고    scopus 로고
    • A quantitative analysis of the local connectivity between pyramidal neurons in layers 2/3 of the rat visual cortex
    • Hellwig, B. (2000). A quantitative analysis of the local connectivity between pyramidal neurons in layers 2/3 of the rat visual cortex. Biol. Cybern. 82, 111-121.
    • (2000) Biol. Cybern , vol.82 , pp. 111-121
    • Hellwig, B.1
  • 18
    • 59649122393 scopus 로고    scopus 로고
    • Early-stage waves in the retinal network emerge close to a critical state transition between local and global functional connectivity
    • Hennig, M. H., Adams, C., Willshaw, D., and Sernagor, E. (2009). Early-stage waves in the retinal network emerge close to a critical state transition between local and global functional connectivity. J. Neurosci. 29, 1077-1086.
    • (2009) J. Neurosci , vol.29 , pp. 1077-1086
    • Hennig, M.H.1    Adams, C.2    Willshaw, D.3    Sernagor, E.4
  • 21
    • 34547219105 scopus 로고    scopus 로고
    • Network structure of cerebral cortex shapes functional connectivity on multiple time scales
    • Honey, C. J., Koetter, R., Breakspear, M., and Sporns, O. (2007). Network structure of cerebral cortex shapes functional connectivity on multiple time scales. Proc. Natl. Acad. Sci. U.S.A. 104, 10240-10245.
    • (2007) Proc. Natl. Acad. Sci. U.S.A , vol.104 , pp. 10240-10245
    • Honey, C.J.1    Koetter, R.2    Breakspear, M.3    Sporns, O.4
  • 22
    • 44349168786 scopus 로고    scopus 로고
    • Network 'Small-World-Ness': A quantitative method for determining canonical network equivalence
    • doi: 10.1371/journal. pone.0002051
    • Humphries, M. D., and Gurney, K. (2008). Network 'Small-World-Ness': a quantitative method for determining canonical network equivalence. PLoS ONE 3, e0002051. doi: 10.1371/journal. pone.0002051.
    • (2008) PLoS ONE , vol.3
    • Humphries, M.D.1    Gurney, K.2
  • 23
    • 33646689571 scopus 로고    scopus 로고
    • The brainstem reticular formation is a small-world, not scale-free, network
    • Humphries, M. D., Gurney, K., and Prescott, T. J. (2006). The brainstem reticular formation is a small-world, not scale-free, network. Proc. Biol. Sci. 273, 503-511.
    • (2006) Proc. Biol. Sci , vol.273 , pp. 503-511
    • Humphries, M.D.1    Gurney, K.2    Prescott, T.J.3
  • 24
    • 23744472001 scopus 로고    scopus 로고
    • Comparative analysis of cortical layering and supragranular layer enlargement in rodent carnivore and primate species
    • Hutsler, J. J., Lee, D.-G., and Porter, K. K. (2005). Comparative analysis of cortical layering and supragranular layer enlargement in rodent carnivore and primate species. Brain Res. 1052, 71-81.
    • (2005) Brain Res , vol.1052 , pp. 71-81
    • Hutsler, J.J.1    Lee, D.-G.2    Porter, K.K.3
  • 25
    • 73949128757 scopus 로고    scopus 로고
    • Interplay between topology and dynamics in excitation patterns on hierarchical graphs
    • doi: 10.3389/neuro.11.028.2009
    • Hütt, M., and Lesne, A. (2009). Interplay between topology and dynamics in excitation patterns on hierarchical graphs. Front. Neuroinform. 3:28. doi: 10.3389/neuro.11.028.2009.
    • (2009) Front. Neuroinform , vol.3 , pp. 28
    • Hütt, M.1    Lesne, A.2
  • 26
    • 0001797609 scopus 로고
    • Jones, E. G., and Peters, A., Volume 2 of Cerebral Cortex. New York: Plenum Press
    • Jones, E. G., and Peters, A. (eds) (1984). Cerebral Cortex: Functional Properties of Cortical Cells, Volume 2 of Cerebral Cortex. New York: Plenum Press.
    • (1984) Cerebral Cortex: Functional Properties of Cortical Cells
  • 27
    • 38449111986 scopus 로고    scopus 로고
    • Brain architecture: A design for natural computation
    • Kaiser, M. (2007). Brain architecture: a design for natural computation. Philos. Trans. R. Soc. Lond., A 365, 3033-3045.
    • (2007) Philos. Trans. R. Soc. Lond., A , vol.365 , pp. 3033-3045
    • Kaiser, M.1
  • 28
    • 34248230738 scopus 로고    scopus 로고
    • Functional criticality in clustered networks without inhibition. New
    • Kaiser, M., Görner, M., and Hilgetag, C. C. (2007a). Functional criticality in clustered networks without inhibition. New J. Phys. 9, 110.
    • (2007) J. Phys , vol.9 , pp. 110
    • Kaiser, M.1    Görner, M.2    Hilgetag, C.C.3
  • 29
    • 34250001993 scopus 로고    scopus 로고
    • Simulation of Robustness against Lesions of Cortical Networks
    • Kaiser, M., Martin, R., Andras, P., and Young, M. P. (2007b). Simulation of Robustness against Lesions of Cortical Networks. Eur. J. Neurosci. 25, 3185-3192.
    • (2007) Eur. J. Neurosci , vol.25 , pp. 3185-3192
    • Kaiser, M.1    Martin, R.2    Andras, P.3    Young, M.P.4
  • 30
    • 33746636451 scopus 로고    scopus 로고
    • Nonoptimal component placement, but short processing paths, due to long-distance projections in neural systems
    • doi: 10.1371/journal.pcbi.0020095
    • Kaiser, M., and Hilgetag, C. C. (2006). Nonoptimal component placement, but short processing paths, due to long-distance projections in neural systems. PLoS Comput. Biol. 2, e95. doi: 10.1371/journal.pcbi.0020095.
    • (2006) PLoS Comput. Biol , vol.2
    • Kaiser, M.1    Hilgetag, C.C.2
  • 31
    • 0035896665 scopus 로고    scopus 로고
    • Optimal wiring principle and plateaus in the degree of separation for cortical neurons
    • Karbowski, J. (2001). Optimal wiring principle and plateaus in the degree of separation for cortical neurons. Phys. Rev. Lett. 86, 3674-3677.
    • (2001) Phys. Rev. Lett , vol.86 , pp. 3674-3677
    • Karbowski, J.1
  • 32
    • 33646856921 scopus 로고    scopus 로고
    • Optimal dynamical range of excitable networks at criticality
    • Kinouchi, O., and Copelli, M. (2006). Optimal dynamical range of excitable networks at criticality. Nat. Phys. 2, 348-351.
    • (2006) Nat. Phys , vol.2 , pp. 348-351
    • Kinouchi, O.1    Copelli, M.2
  • 33
    • 63549113929 scopus 로고    scopus 로고
    • Broadband criticality of human brain network synchronization. PLoS Comput
    • e1000314. doi: 10.1371/journal.pcbi.1000314
    • Kitzbichler, M. G., Smith, M. L., Christensen, S. R., and Bullmore, E. (2009). Broadband criticality of human brain network synchronization. PLoS Comput. Biol. 5, e1000314. doi: 10.1371/journal.pcbi.1000314.
    • (2009) Biol , pp. 5
    • Kitzbichler, M.G.1    Smith, M.L.2    Christensen, S.R.3    Bullmore, E.4
  • 35
    • 0034728112 scopus 로고    scopus 로고
    • Global relationship between anatomical connectivity and activity propagation in the cerebral cortex
    • Kötter, R., and Sommer, F. T. (2000). Global relationship between anatomical connectivity and activity propagation in the cerebral cortex. Philos. Trans. R. Soc. Lond., B, Biol. Sci. 355, 127-134.
    • (2000) Philos. Trans. R. Soc. Lond., B, Biol. Sci , vol.355 , pp. 127-134
    • Kötter, R.1    Sommer, F.T.2
  • 36
    • 2942526819 scopus 로고    scopus 로고
    • Computing and stability in cortical networks
    • Latham, P. E., and Nirenberg, S. (2004). Computing and stability in cortical networks. Neural Comput. 16, 1385-1412.
    • (2004) Neural Comput , vol.16 , pp. 1385-1412
    • Latham, P.E.1    Nirenberg, S.2
  • 37
    • 2942731581 scopus 로고    scopus 로고
    • Global and local synchrony of coupled neurons in small-world networks
    • Masuda, N., and Aihara, K. (2004). Global and local synchrony of coupled neurons in small-world networks. Biol. Cybern. 90, 302-309.
    • (2004) Biol. Cybern , vol.90 , pp. 302-309
    • Masuda, N.1    Aihara, K.2
  • 39
    • 0031002495 scopus 로고    scopus 로고
    • The columnar organization of the neocortex
    • Mountcastle, V. B. (1997). The columnar organization of the neocortex. Brain 120(Pt. 4), 701-722.
    • (1997) Brain , vol.120 , Issue.PART 4 , pp. 701-722
    • Mountcastle, V.B.1
  • 40
    • 52949104430 scopus 로고    scopus 로고
    • Organization of excitable dynamics in hierarchical biological networks
    • e1000190. doi: 10.1371/journal. pcbi.1000190
    • Müller-Linow, M., Hilgetag, C. C., and Hutt, M. T. (2008). Organization of excitable dynamics in hierarchical biological networks. PLoS Comput. Biol. 4, e1000190. doi: 10.1371/journal. pcbi.1000190.
    • (2008) PLoS Comput. Biol , vol.4
    • Müller-Linow, M.1    Hilgetag, C.C.2    Hutt, M.T.3
  • 41
    • 33947142373 scopus 로고    scopus 로고
    • Resonance or integration? Selfsustained dynamics and excitability of neural microcircuits
    • Muresan, R. C., and Savin, C. (2007). Resonance or integration? Selfsustained dynamics and excitability of neural microcircuits. J. Neurophysiol. 97, 1911-1930.
    • (2007) J. Neurophysiol , vol.97 , pp. 1911-1930
    • Muresan, R.C.1    Savin, C.2
  • 42
    • 24744469980 scopus 로고    scopus 로고
    • Power laws, Pareto distributions and Zipf's law
    • Newman, M. E. J. (2005). Power laws, Pareto distributions and Zipf's law. Contemp. Phys. 46, 323-351.
    • (2005) Contemp. Phys , vol.46 , pp. 323-351
    • Newman, M.E.J.1
  • 44
    • 0035794256 scopus 로고    scopus 로고
    • Epidemic spreading in scalefree networks
    • Pastor-Satorras, R., and Vespignani, A. (2001). Epidemic spreading in scalefree networks. Phys. Rev. Lett. 86, 3200.
    • (2001) Phys. Rev. Lett , vol.86 , pp. 3200
    • Pastor-Satorras, R.1    Vespignani, A.2
  • 45
    • 34548535101 scopus 로고    scopus 로고
    • A default mode of brain function: A brief history of an evolving idea
    • Raichle, M. E., and Snyder, A. Z. (2007). A default mode of brain function: a brief history of an evolving idea. Neuroimage 37, 1083-1090.
    • (2007) Neuroimage , vol.37 , pp. 1083-1090
    • Raichle, M.E.1    Snyder, A.Z.2
  • 46
    • 50449094091 scopus 로고    scopus 로고
    • Confusing cortical columns
    • Rakic, P. (2008). Confusing cortical columns. Proc. Natl. Acad. Sci. U.S.A. 105, 12099-12100.
    • (2008) Proc. Natl. Acad. Sci. U.S.A , vol.105 , pp. 12099-12100
    • Rakic, P.1
  • 47
    • 0037199968 scopus 로고    scopus 로고
    • Hierarchical organization of modularity in metabolic networks
    • Ravasz, E., Somera, A. L., Mongru, D. A., Oltvai, Z. N., and Barabási, A.-L. (2002). Hierarchical organization of modularity in metabolic networks. Science 297, 1551-1555.
    • (2002) Science , vol.297 , pp. 1551-1555
    • Ravasz, E.1    Somera, A.L.2    Mongru, D.A.3    Oltvai, Z.N.4    Barabási, A.-L.5
  • 48
    • 0026049138 scopus 로고
    • Neuronal interconnection as a function of brain size. Brain Behav
    • Ringo, J. L. (1991). Neuronal interconnection as a function of brain size. Brain Behav. Evol. 38, 1-6.
    • (1991) Evol , vol.38 , pp. 1-6
    • Ringo, J.L.1
  • 49
    • 69949161972 scopus 로고    scopus 로고
    • Dynamical reconnection and stability constraints on cortical network architecture
    • Robinson, P. A., Henderson, J. A., Matar, E., Riley, P., and Gray, R. T. (2009). Dynamical reconnection and stability constraints on cortical network architecture. Phys. Rev. Lett. 103, 108104.
    • (2009) Phys. Rev. Lett , vol.103 , pp. 108104
    • Robinson, P.A.1    Henderson, J.A.2    Matar, E.3    Riley, P.4    Gray, R.T.5
  • 50
    • 3042558271 scopus 로고    scopus 로고
    • Self-sustained activity in a small-world network of excitable neurons
    • Roxin, A., Riecke, H., and Solla, S. A. (2004). Self-sustained activity in a small-world network of excitable neurons. Phys. Rev. Lett. 92, 198101.
    • (2004) Phys. Rev. Lett , vol.92 , pp. 198101
    • Roxin, A.1    Riecke, H.2    Solla, S.A.3
  • 51
    • 0032931567 scopus 로고    scopus 로고
    • The connectional organization of the cortico-thalamic system of the cat
    • Scannell, J. W., Burns, G. A., Hilgetag, C. C., O'Neil, M. A., and Young, M. P. (1999). The connectional organization of the cortico-thalamic system of the cat. Cereb. Cortex 9, 277-299.
    • (1999) Cereb. Cortex , vol.9 , pp. 277-299
    • Scannell, J.W.1    Burns, G.A.2    Hilgetag, C.C.3    O'Neil, M.A.4    Young, M.P.5
  • 53
    • 33749528724 scopus 로고    scopus 로고
    • Quantitative aspects of corticocortical connections: A tracer study in the mouse
    • Schüz, A., Chaimow, D., Liewald, D., and Dortenman, M. (2006). Quantitative aspects of corticocortical connections: a tracer study in the mouse. Cereb. Cortex 16, 1474-1486.
    • (2006) Cereb. Cortex , vol.16 , pp. 1474-1486
    • Schüz, A.1    Chaimow, D.2    Liewald, D.3    Dortenman, M.4
  • 54
    • 0028889963 scopus 로고
    • Constancy and variability in cortical structure. A study on synapses and dendritic spines in hedgehog and monkey
    • Schüz, A., and Demianenko, G. P. (1995). Constancy and variability in cortical structure. A study on synapses and dendritic spines in hedgehog and monkey. J. Hirnforsch. 36, 113-122.
    • (1995) J. Hirnforsch , vol.36 , pp. 113-122
    • Schüz, A.1    Demianenko, G.P.2
  • 56
    • 75949088546 scopus 로고    scopus 로고
    • Does history repeat itself? Cortical columns
    • Smith, C. U. M. (2010). Does history repeat itself? Cortical columns. Cortex 46, 279-280.
    • (2010) Cortex , vol.46 , pp. 279-280
    • Smith, C.U.M.1
  • 57
    • 33744924504 scopus 로고    scopus 로고
    • Small-world connectivity, motif composition, and complexity of fractal neuronal connections
    • Sporns, O. (2006). Small-world connectivity, motif composition, and complexity of fractal neuronal connections. Biosystems 85, 55-64.
    • (2006) Biosystems , vol.85 , pp. 55-64
    • Sporns, O.1
  • 58
    • 38349140387 scopus 로고    scopus 로고
    • Identification and classification of hubs in brain networks
    • e1049. doi: 10.1371/journal. pone.0001049
    • Sporns, O., Honey, C. J., and Kotter, R. (2007). Identification and classification of hubs in brain networks. PLoS ONE 2, e1049. doi: 10.1371/journal. pone.0001049.
    • (2007) PLoS ONE , pp. 2
    • Sporns, O.1    Honey, C.J.2    Kotter, R.3
  • 59
    • 0033953083 scopus 로고    scopus 로고
    • Theoretical neuroanatomy: Relating anatomical and functional connectivity in graphs and cortical connection matrices
    • Sporns, O., Tononi, G., and Edelman, G. M. (2000). Theoretical neuroanatomy: relating anatomical and functional connectivity in graphs and cortical connection matrices. Cereb. Cortex 10, 127-141.
    • (2000) Cereb. Cortex , vol.10 , pp. 127-141
    • Sporns, O.1    Tononi, G.2    Edelman, G.M.3
  • 61
    • 33646481401 scopus 로고    scopus 로고
    • Head size constrains forebrain development and evolution in ray-finned fishes
    • Striedter, G. F., and Northcutt, R. G. (2006). Head size constrains forebrain development and evolution in ray-finned fishes. Evol. Dev. 8, 215-222.
    • (2006) Evol. Dev , vol.8 , pp. 215-222
    • Striedter, G.F.1    Northcutt, R.G.2
  • 62
    • 0029088615 scopus 로고
    • Binding in models of perception and brain function
    • von der Malsburg, C. (1995). Binding in models of perception and brain function. Curr. Opin. Neurobiol. 5, 520-526.
    • (1995) Curr. Opin. Neurobiol , vol.5 , pp. 520-526
    • von der Malsburg, C.1
  • 63
    • 0032482432 scopus 로고    scopus 로고
    • Collective dynamics of 'small-World' networks
    • Watts, D. J., and Strogatz, S. H. (1998). Collective dynamics of 'small-World' networks. Nature 393, 440-442.
    • (1998) Nature , vol.393 , pp. 440-442
    • Watts, D.J.1    Strogatz, S.H.2
  • 64
    • 0026684846 scopus 로고
    • Objective analysis of the topological organization of the primate cortical visual system
    • Young, M. P. (1992). Objective analysis of the topological organization of the primate cortical visual system. Nature 358, 152-155.
    • (1992) Nature , vol.358 , pp. 152-155
    • Young, M.P.1
  • 65
    • 62849088490 scopus 로고    scopus 로고
    • Specific synapses develop preferentially among sister excitatory neurons in the neocortex
    • Yu, Y.-C., Bultje, R. S., Wang, X., and Shi, S.-H. (2009). Specific synapses develop preferentially among sister excitatory neurons in the neocortex. Nature 458, 501-504.
    • (2009) Nature , vol.458 , pp. 501-504
    • Yu, Y.-C.1    Bultje, R.S.2    Wang, X.3    Shi, S.-H.4
  • 66
    • 77953367591 scopus 로고    scopus 로고
    • Cortical hubs form a module for multisensory integration on top of the hierarchy of cortical networks
    • doi: 10.3389/neuro.11.001.2010
    • Zamora-López, G., Zhou, C., and Kurths, J. (2010). Cortical hubs form a module for multisensory integration on top of the hierarchy of cortical networks. Front. Neuroinform. 4:1. doi: 10.3389/neuro.11.001.2010.
    • (2010) Front. Neuroinform , vol.4 , pp. 1
    • Zamora-López, G.1    Zhou, C.2    Kurths, J.3
  • 67
    • 0034625150 scopus 로고    scopus 로고
    • A universal scaling law between gray matter and white matter of cerebral cortex
    • Zhang, K., and Sejnowski, T. J. (2000). A universal scaling law between gray matter and white matter of cerebral cortex. Proc. Natl. Acad. Sci. U.S.A. 97, 5621-5626
    • (2000) Proc. Natl. Acad. Sci. U.S.A , vol.97 , pp. 5621-5626
    • Zhang, K.1    Sejnowski, T.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.