STDP-driven networks and the C. elegans neuronal network

Physica A: Statistical Mechanics and its Applications

Volumn 389, Issue 18, 2010, Pages 3900-3914

  Ren, Quansheng ^a   Kolwankar, Kiran M ^a,b   Samal, Areejit ^a,c   Jost, Jrgen ^a,d  

^a MAX PLANCK INSTITUTE FOR MATHEMATICS IN THE SCIENCES   (Germany)

^b R J College   (India)

^c UNIVERSITÉ PARIS SUD   (France)

^d SANTA FE INSTITUTE   (United States)

Author keywords

Complex networks; Network evolution; Network motifs; Spike timing dependent plasticity

Indexed keywords

COMPLEX NETWORKS; NEURONS;

ELEGANS; FORMAL NEURAL NETWORKS; MODEL PARAMETERS; NETWORK EVOLUTION; NETWORK MOTIF; NEURONAL NETWORKS; SPIKE TIMING DEPENDENT PLASTICITIES; STEADY STATE;

NEURAL NETWORKS;

EID: 77955309731     PISSN: 03784371     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.physa.2010.05.018     Document Type: Article

References (34)

1. R. Albert, and A.-L. Barabsi Statistical mechanics of networks Rev. Modern. Phys. 74 2002 47 97
2. D. Watts, and S. Strogatz Collective dynamics of small-world networks Nature 393 1998 440 442
3. S. Bornholdt, and H.G. Schuster Handbook of Graphs and Networks: From the Genome to the Internet 2002 Wiley-VCH Weinheim
4. M.E.J. Newman The structure and function of complex networks SIAM Rev. 45 2003 167 256
5. S.N. Dorogovtsev, and J.F.F. Mendes Evolution of Networks: From Biological Nets to the Internet and WWW 2003 Oxford University Press USA
6. V.M. Eguluz, D.R. Chialvo, G.A. Cecchi, M. Baliki, and A.V. Apkarian Scale-free brain functional networks Phys. Rev. Lett. 94 1 2005 018102 10.1103/PhysRevLett.94.018102
7. C.J. Stam, and J.C. Reijneveld Graph theoretical analysis of complex networks in the brain Nonlinear Biomed. Phys. 1 2007 3
8. H. Markram, J. Lbke, M. Frotscher, and B. Sakmann Regulation of synaptic efficacy by coincidence of synaptic APs and EPSPs Science 275 1997 213 215
9. J. Jost Temporal correlation based learning in neuron models Theory Biosci. 125 2006 37 53
10. J. Jost, and K.M. Kolwankar Evolution of network structure by temporal learning Physica A 388 2009 1959
11. C.-W. Shin, and S. Kim Self-organized criticality and scale-free properties in emergent functional neural networks Phys. Rev. E 74 2006 045101(R)
12. J.G. White, E. Southgate, J.N. Thomson, and S. Brenner The structure of the nervous system of the nematode caenorhabditis elegans Phil. Trans. R. Soc. Lond. B 314 1986 1 340
13. L.R. Varshney, B.L. Chen, E. Paniagua, D.H. Hall, D.B. Chklovskii, Structural properties of the Caenorhabditis elegans neuronal network. arXiv:0907.2373v2.
14. D.L. Bishop, T. Misgeld, M.K. Walsh, W.-B. Gan, and J.W. Lichtman Axon branch removal at developing synapses by axosome shedding Neuron 44 4 2004 651 661 10.1016/j.neuron.2004.10.026
15. W. Wadsworth Axon pruning: C. elegans makes the cut Current Biol. 15 2005 R796 R798
16. E.L. Peckol, J.A. Zallen, J.C. Yarrow, and C.I. Bargmann Sensoty activity affects sensory axon development in C. elegans Development 126 1999 1891
17. M.-O. Gewaltig, and M. Diesmann Nest (neural simulation tool) Scholarpedia 2 4 2007 1430
18. S. Song, K.D. Miller, and L.F. Abbott Competitive hebbian learning through spike-timing-dependent synaptic plasticity Nature Neurosci. 3 9 2000 919 926
19. R.D. Traub, and R. Miles Neuronal Networks of the Hippocampus 1991 Cambridge University Press Cambridge UK
20. N. Brunel, and V. Hakim Fast global oscillations in networks of integrate-and-fire neurons with low firing rates Neural Comput. 11 1999 1621 1671
21. R. Milo, S. Shen-Orr, S. ltzkovitz, N. Kashtan, D. Chklovskii, and U. Alon Network motifs: simple building blocks of complex networks Science 298 2002 824 827
22. R. Milo, S. Itzkovitz, N. Kashtan, R. Levitt, S. Shen-Orr, I. Ayzenshtat, M. Sheffer, and U. Alon Superfamilies of evolved and designed networks Science 303 2004 1538 1542
23. U. A. etc. arXiv:http://www.weizmann.ac.il/mcb/UriAlon/.
24. J.G. Foster, D.V. Foster, P. Grassberger, and M. Paczuski Link and subgraph likelihoods in random undirected networks with fixed and partially fixed degree sequences Phys. Rev. E 76 2007 046112
25. T. Kahle, E. Olbrich, J. Jost, and N. Ay Complexity measures from interaction structures Phys. Rev. E 79 2009 026201
26. E. Olbrich, T. Kahle, N. Bertschinger, N. Ay, J. Jost, Quantifying structure in networks, in: Proc. ECCS 09.
27. P. Kaluza, M. Ipsen, M. Vingron, and A.S. Mikhailov Design and statistical properties of robust functional networks: a model study of biological signal transduction Phys. Rev. E 75 2007 015101(R)
28. K. Klemm, and S. Bornholdt Topology of biological networks and reliability of information processing Proc. Natl. Acad. Sci. USA 102 2005 18414 18419
29. P.R. Huttenlocher Synaptic density in human frontal cortex developmental changes and effects of aging Brain Res. 163 1979 195 205
30. G.Q. Bi, and M.M. Poo Synaptic modification by correlated activity: Hebb's postulate revisited Annu. Rev. Neurosci. 24 2001 139 166
31. C. Li Functions of neuronal network motifs Phys. Rev. E 78 2008 037101
32. N. Masuda, and H. Kori Formation of feedforward networks and frequency synchrony by spike-timing-dependent plasticity J. Comput. Neurosci. 22 2007 327 345
33. Y.K. Takahashi, H. Kori, and N. Masuda Self-organization of feed-forward structure and entrainment in excitatory neural networks with spike-timing-dependent plasticity Phys. Rev. E 79 2009 051904
34. T. Nowotny, and M.I. Rabinovich Spatial representation of temporal information through spike-timing-dependent-plasticity Phys. Rev. E 68 2003 011908