User menu

Emergence of slow-switching assemblies in structured neuronal networks

Bibliographic reference Schaub, Michael ; Billeh, Yazan N. ; Anastassiou, Costas A. ; Koch, Christof ; Barahona, Mauricio. Emergence of slow-switching assemblies in structured neuronal networks. In: PLoS Computational Biology, Vol. 11, no.7, p. e1004196 (July 2015)
Permanent URL
  1. Buzsáki György, Large-scale recording of neuronal ensembles, 10.1038/nn1233
  2. J Du, PLoS ONE, 6 (2011)
  3. Ahrens Misha B, Orger Michael B, Robson Drew N, Li Jennifer M, Keller Philipp J, Whole-brain functional imaging at cellular resolution using light-sheet microscopy, 10.1038/nmeth.2434
  4. Buzsáki György, Neural Syntax: Cell Assemblies, Synapsembles, and Readers, 10.1016/j.neuron.2010.09.023
  5. DO Hebb (1949)
  6. Harris Kenneth D., Opinion: Neural signatures of cell assembly organization, 10.1038/nrn1669
  7. S Song, Plos Biology, 3, 507 (2005)
  8. Perin R., Berger T. K., Markram H., A synaptic organizing principle for cortical neuronal groups, 10.1073/pnas.1016051108
  9. Yoshimura Yumiko, Dantzker Jami L. M., Callaway Edward M., Excitatory cortical neurons form fine-scale functional networks, 10.1038/nature03252
  10. Otsuka T., Kawaguchi Y., Cell Diversity and Connection Specificity between Callosal Projection Neurons in the Frontal Cortex, 10.1523/jneurosci.5795-10.2011
  11. Ko Ho, Hofer Sonja B., Pichler Bruno, Buchanan Katherine A., Sjöström P. Jesper, Mrsic-Flogel Thomas D., Functional specificity of local synaptic connections in neocortical networks, 10.1038/nature09880
  12. Harris Kenneth D., Mrsic-Flogel Thomas D., Cortical connectivity and sensory coding, 10.1038/nature12654
  13. Lefort Sandrine, Tomm Christian, Floyd Sarria J.-C., Petersen Carl C.H., The Excitatory Neuronal Network of the C2 Barrel Column in Mouse Primary Somatosensory Cortex, 10.1016/j.neuron.2008.12.020
  14. Yassin Lina, Benedetti Brett L., Jouhanneau Jean-Sébastien, Wen Jing A., Poulet James F.A., Barth Alison L., An Embedded Subnetwork of Highly Active Neurons in the Neocortex, 10.1016/j.neuron.2010.11.029
  15. M Shimono, Cerebral Cortex (2014)
  16. McGinley M. J., Westbrook G. L., Hierarchical excitatory synaptic connectivity in mouse olfactory cortex, 10.1073/pnas.1303813110
  17. Savic Ivanka, Gulyas Balazs, Larsson Maria, Roland Per, Olfactory Functions Are Mediated by Parallel and Hierarchical Processing, 10.1016/s0896-6273(00)81209-x
  18. Felleman D. J., Van Essen D. C., Distributed Hierarchical Processing in the Primate Cerebral Cortex, 10.1093/cercor/1.1.1
  19. Ito Masayoshi, Masuda Naoki, Shinomiya Kazunori, Endo Keita, Ito Kei, Systematic Analysis of Neural Projections Reveals Clonal Composition of the Drosophila Brain, 10.1016/j.cub.2013.03.015
  20. Pavlides Constantine, Greenstein Yoram J., Grudman Mark, Winson Jonathan, Long-term potentiation in the dentate gyrus is induced preferentially on the positive phase of θ-rhythm, 10.1016/0006-8993(88)91499-0
  21. J Hyman, Journal of Neuroscience, 23, 11725 (2003)
  22. Litwin-Kumar Ashok, Doiron Brent, Slow dynamics and high variability in balanced cortical networks with clustered connections, 10.1038/nn.3220
  23. Vreeswijk C. van, Sompolinsky H., Chaotic Balanced State in a Model of Cortical Circuits, 10.1162/089976698300017214
  24. von Luxburg Ulrike, A tutorial on spectral clustering, 10.1007/s11222-007-9033-z
  25. Zhang X, Rao Nadakuditi R, Newman MEJ (2013) Spectra of random graphs with community structure and arbitrary degrees. URL arXiv:1310.0046.
  26. Nadakuditi Raj Rao, Newman M. E. J., Spectra of random graphs with arbitrary expected degrees, 10.1103/physreve.87.012803
  27. Murphy Brendan K., Miller Kenneth D., Balanced Amplification: A New Mechanism of Selective Amplification of Neural Activity Patterns, 10.1016/j.neuron.2009.02.005
  28. Simon Herbert A., Ando Albert, Aggregation of Variables in Dynamic Systems, 10.2307/1909285
  29. Galán Roberto F., On How Network Architecture Determines the Dominant Patterns of Spontaneous Neural Activity, 10.1371/journal.pone.0002148
  30. Delvenne J.- C., Yaliraki S. N., Barahona M., Stability of graph communities across time scales, 10.1073/pnas.0903215107
  31. Schaub Michael T., Delvenne Jean-Charles, Yaliraki Sophia N., Barahona Mauricio, Markov Dynamics as a Zooming Lens for Multiscale Community Detection: Non Clique-Like Communities and the Field-of-View Limit, 10.1371/journal.pone.0032210
  32. JC Delvenne, Volume 2, 221 (2013)
  33. Billeh Yazan N., Schaub Michael T., Anastassiou Costas A., Barahona Mauricio, Koch Christof, Revealing cell assemblies at multiple levels of granularity, 10.1016/j.jneumeth.2014.08.011
  34. Rajan Kanaka, Abbott L. F., Eigenvalue Spectra of Random Matrices for Neural Networks, 10.1103/physrevlett.97.188104
  35. Sommers H. J., Crisanti A., Sompolinsky H., Stein Y., Spectrum of Large Random Asymmetric Matrices, 10.1103/physrevlett.60.1895
  36. Goldman Mark S., Memory without Feedback in a Neural Network, 10.1016/j.neuron.2008.12.012
  37. LN Trefethen (2005)
  38. H Golub (1996)
  39. Stewart GW (2001) Matrix Algorithms Volume 2: Eigensystems, volume 2. Siam.
  40. Rutishauser Ueli, Douglas Rodney J., Slotine Jean-Jacques, Collective Stability of Networks of Winner-Take-All Circuits, 10.1162/neco_a_00091
  41. Watts Duncan J., Strogatz Steven H., 10.1038/30918
  42. Bullmore Ed, Sporns Olaf, Complex brain networks: graph theoretical analysis of structural and functional systems, 10.1038/nrn2575
  43. Meunier David, Lambiotte Renaud, Bullmore Edward T., Modular and Hierarchically Modular Organization of Brain Networks, 10.3389/fnins.2010.00200
  44. Barahona Mauricio, Pecora Louis M., Synchronization in Small-World Systems, 10.1103/physrevlett.89.054101
  45. Barabási A., Emergence of Scaling in Random Networks, 10.1126/science.286.5439.509
  46. Ambros-Ingerson J, Granger R, Lynch G, Simulation of paleocortex performs hierarchical clustering, 10.1126/science.2315702
  47. Laughlin S. B., Communication in Neuronal Networks, 10.1126/science.1089662
  48. Kepecs Adam, Fishell Gordon, Interneuron cell types are fit to function, 10.1038/nature12983
  49. L Roux, Neuropharmacology (2014)
  50. Silberberg Gilad, Markram Henry, Disynaptic Inhibition between Neocortical Pyramidal Cells Mediated by Martinotti Cells, 10.1016/j.neuron.2007.02.012
  51. Xu Han, Jeong Hyo-Young, Tremblay Robin, Rudy Bernardo, Neocortical Somatostatin-Expressing GABAergic Interneurons Disinhibit the Thalamorecipient Layer 4, 10.1016/j.neuron.2012.11.004
  52. Lee Soohyun, Kruglikov Illya, Huang Z Josh, Fishell Gord, Rudy Bernardo, A disinhibitory circuit mediates motor integration in the somatosensory cortex, 10.1038/nn.3544
  53. Pi Hyun-Jae, Hangya Balázs, Kvitsiani Duda, Sanders Joshua I., Huang Z. Josh, Kepecs Adam, Cortical interneurons that specialize in disinhibitory control, 10.1038/nature12676
  54. Pfeffer Carsten K, Xue Mingshan, He Miao, Huang Z Josh, Scanziani Massimo, Inhibition of inhibition in visual cortex: the logic of connections between molecularly distinct interneurons, 10.1038/nn.3446
  55. Niven J. E., Laughlin S. B., Energy limitation as a selective pressure on the evolution of sensory systems, 10.1242/jeb.017574
  56. Larremore Daniel B., Shew Woodrow L., Restrepo Juan G., Predicting Criticality and Dynamic Range in Complex Networks: Effects of Topology, 10.1103/physrevlett.106.058101
  57. J Beggs, Journal of Neuroscience, 23, 11167 (2003)
  58. Kenet Tal, Bibitchkov Dmitri, Tsodyks Misha, Grinvald Amiram, Arieli Amos, Spontaneously emerging cortical representations of visual attributes, 10.1038/nature02078
  59. Ben-Yishai R., Bar-Or R. L., Sompolinsky H., Theory of orientation tuning in visual cortex., 10.1073/pnas.92.9.3844
  60. D Somers, Journal of Neuroscience, 15, 5448 (1995)
  61. Ernst U. A., Pawelzik K. R., Sahar-Pikielny C., Tsodyks M. V., 10.1038/86089
  62. Sasaki T., Matsuki N., Ikegaya Y., Metastability of Active CA3 Networks, 10.1523/jneurosci.4514-06.2007
  63. Litwin-Kumar Ashok, Doiron Brent, Formation and maintenance of neuronal assemblies through synaptic plasticity, 10.1038/ncomms6319
  64. Harris Kenneth D., Csicsvari Jozsef, Hirase Hajime, Dragoi George, Buzsáki György, Organization of cell assemblies in the hippocampus, 10.1038/nature01834
  65. Foster David J., Wilson Matthew A., Reverse replay of behavioural sequences in hippocampal place cells during the awake state, 10.1038/nature04587
  66. Riehle A., Spike Synchronization and Rate Modulation Differentially Involved in Motor Cortical Function, 10.1126/science.278.5345.1950
  67. Hahnloser Richard H. R., Kozhevnikov Alexay A., Fee Michale S., An ultra-sparse code underliesthe generation of neural sequences in a songbird, 10.1038/nature00974
  68. Rokem A., Spike-Timing Precision Underlies the Coding Efficiency of Auditory Receptor Neurons, 10.1152/jn.00891.2005
  69. Hromádka Tomáš, DeWeese Michael R, Zador Anthony M, Sparse Representation of Sounds in the Unanesthetized Auditory Cortex, 10.1371/journal.pbio.0060016
  70. Buzsáki György, Mizuseki Kenji, The log-dynamic brain: how skewed distributions affect network operations, 10.1038/nrn3687
  71. Oh Seung Wook, Harris Julie A., Ng Lydia, Winslow Brent, Cain Nicholas, Mihalas Stefan, Wang Quanxin, Lau Chris, Kuan Leonard, Henry Alex M., Mortrud Marty T., Ouellette Benjamin, Nguyen Thuc Nghi, Sorensen Staci A., Slaughterbeck Clifford R., Wakeman Wayne, Li Yang, Feng David, Ho Anh, Nicholas Eric, Hirokawa Karla E., Bohn Phillip, Joines Kevin M., Peng Hanchuan, Hawrylycz Michael J., Phillips John W., Hohmann John G., Wohnoutka Paul, Gerfen Charles R., Koch Christof, Bernard Amy, Dang Chinh, Jones Allan R., Zeng Hongkui, A mesoscale connectome of the mouse brain, 10.1038/nature13186
  72. Clopath Claudia, Büsing Lars, Vasilaki Eleni, Gerstner Wulfram, Connectivity reflects coding: a model of voltage-based STDP with homeostasis, 10.1038/nn.2479
  73. Reimann Michael W., Anastassiou Costas A., Perin Rodrigo, Hill Sean L., Markram Henry, Koch Christof, A Biophysically Detailed Model of Neocortical Local Field Potentials Predicts the Critical Role of Active Membrane Currents, 10.1016/j.neuron.2013.05.023
  74. Batagelj Vladimir, Brandes Ulrik, Efficient generation of large random networks, 10.1103/physreve.71.036113