Critical Dynamics in Complex Excitable Networks
暂无分享,去创建一个
[1] E. Ott,et al. Spectral properties of networks with community structure. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.
[2] Eugene M. Izhikevich,et al. Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting , 2006 .
[3] P. Mucha,et al. The unreasonable effectiveness of tree-based theory for networks with clustering. , 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.
[4] Marc Benayoun,et al. Avalanches in a Stochastic Model of Spiking Neurons , 2010, PLoS Comput. Biol..
[5] Florentin Wörgötter,et al. Self-Organized Criticality in Developing Neuronal Networks , 2010, PLoS Comput. Biol..
[6] R. Pastor-Satorras,et al. Non-mean-field behavior of the contact process on scale-free networks. , 2005, Physical review letters.
[7] John M. Beggs,et al. Neuronal Avalanches in Neocortical Circuits , 2003, The Journal of Neuroscience.
[8] L. L. Bologna,et al. Self-organization and neuronal avalanches in networks of dissociated cortical neurons , 2008, Neuroscience.
[9] Henrik Jeldtoft Jensen,et al. Self-Organized Criticality: Emergent Complex Behavior in Physical and Biological Systems , 1998 .
[10] Alberto Borobia-Ujué,et al. A Geometric Proof of the Perron-Frobenius Theorem , 1992 .
[11] E. Tansey. John Zachary Young , 1997 .
[12] John M Beggs,et al. Critical branching captures activity in living neural networks and maximizes the number of metastable States. , 2005, Physical review letters.
[13] M. Copelli,et al. Excitable scale free networks , 2007, q-bio/0703004.
[14] Peter A. Robinson,et al. Stability and spectra of randomly connected excitatory cortical networks , 2007, Neurocomputing.
[15] James P. Gleeson,et al. Cascades on a class of clustered random networks , 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.
[16] Mikko Alava,et al. Branching Processes , 2009, Encyclopedia of Complexity and Systems Science.
[17] J. Borge-Holthoefer,et al. Discrete-time Markov chain approach to contact-based disease spreading in complex networks , 2009, 0907.1313.
[18] Edward Ott,et al. Characterizing the dynamical importance of network nodes and links. , 2006, Physical review letters.
[19] D.,et al. Branching Process Approach to Avalanche Dynamics on Complex Networks , 2003 .
[20] John M. Beggs,et al. Behavioral / Systems / Cognitive Neuronal Avalanches Are Diverse and Precise Activity Patterns That Are Stable for Many Hours in Cortical Slice Cultures , 2004 .
[21] E. Ott,et al. Onset of synchronization in large networks of coupled oscillators. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.
[22] John M Beggs,et al. The criticality hypothesis: how local cortical networks might optimize information processing , 2008, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[23] D. Plenz,et al. Homeostasis of neuronal avalanches during postnatal cortex development in vitro , 2008, Journal of Neuroscience Methods.
[24] Stanley,et al. Self-organized branching processes: Mean-field theory for avalanches. , 1995, Physical review letters.
[25] D. Plenz,et al. Spontaneous cortical activity in awake monkeys composed of neuronal avalanches , 2009, Proceedings of the National Academy of Sciences.
[26] L. F. Abbott,et al. Generating Coherent Patterns of Activity from Chaotic Neural Networks , 2009, Neuron.
[27] Edward Ott,et al. Weighted percolation on directed networks. , 2008, Physical review letters.
[28] Sen Song,et al. Highly Nonrandom Features of Synaptic Connectivity in Local Cortical Circuits , 2005, PLoS biology.
[29] L. Abbott,et al. Eigenvalue spectra of random matrices for neural networks. , 2006, Physical review letters.
[30] E. Ott,et al. Approximating the largest eigenvalue of network adjacency matrices. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.
[31] Reuven Cohen,et al. Percolation critical exponents in scale-free networks. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.
[32] D. Plenz,et al. Neuronal avalanches organize as nested theta- and beta/gamma-oscillations during development of cortical layer 2/3 , 2008, Proceedings of the National Academy of Sciences.
[33] Woodrow L. Shew,et al. Information Capacity and Transmission Are Maximized in Balanced Cortical Networks with Neuronal Avalanches , 2010, The Journal of Neuroscience.
[34] Antoine Allard,et al. Heterogeneous bond percolation on multitype networks with an application to epidemic dynamics. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.
[35] S. Yoshizawa,et al. An Active Pulse Transmission Line Simulating Nerve Axon , 1962, Proceedings of the IRE.
[36] Leonardo L. Gollo,et al. Active Dendrites Enhance Neuronal Dynamic Range , 2009, PLoS Comput. Biol..
[37] E. G. Jones,et al. Microcolumns in the cerebral cortex. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[38] Joel C. Miller,et al. Percolation and epidemics in random clustered networks. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.
[39] M. Copelli,et al. Deterministic excitable media under Poisson drive: power law responses, spiral waves, and dynamic range. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.
[40] Charles R. MacCluer,et al. The Many Proofs and Applications of Perron's Theorem , 2000, SIAM Rev..
[41] M. Nicolelis,et al. Spike Avalanches Exhibit Universal Dynamics across the Sleep-Wake Cycle , 2010, PloS one.
[42] S. Hastings,et al. Spatial Patterns for Discrete Models of Diffusion in Excitable Media , 1978 .
[43] O. Kinouchi,et al. Optimal dynamical range of excitable networks at criticality , 2006, q-bio/0601037.
[44] E. Volz. SIR dynamics in random networks with heterogeneous connectivity , 2007, Journal of mathematical biology.
[45] Prof. Dr. Dr. Valentino Braitenberg,et al. Cortex: Statistics and Geometry of Neuronal Connectivity , 1998, Springer Berlin Heidelberg.
[46] Takeshi Kaneko,et al. Recurrent Infomax Generates Cell Assemblies, Neuronal Avalanches, and Simple Cell-Like Selectivity , 2009, Neural Computation.
[47] G. Cecchi,et al. Scale-free brain functional networks. , 2003, Physical review letters.
[48] Z. Duan,et al. Synchronization transitions on scale-free neuronal networks due to finite information transmission delays. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.
[49] Alan M. Frieze,et al. Random graphs , 2006, SODA '06.
[50] F. Jülicher,et al. Auditory sensitivity provided by self-tuned critical oscillations of hair cells. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[51] Bill S Hansson,et al. Extreme sensitivity in an olfactory system. , 2003, Chemical senses.
[52] James P Gleeson,et al. Mean size of avalanches on directed random networks with arbitrary degree distributions. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.
[53] E. Ott,et al. Effects of network topology, transmission delays, and refractoriness on the response of coupled excitable systems to a stochastic stimulus. , 2011, Chaos.
[54] J. M. Herrmann,et al. Finite-size effects of avalanche dynamics. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.
[55] Woodrow L. Shew,et al. Predicting criticality and dynamic range in complex networks: effects of topology. , 2010, Physical review letters.
[56] Woodrow L. Shew,et al. Neuronal Avalanches Imply Maximum Dynamic Range in Cortical Networks at Criticality , 2009, The Journal of Neuroscience.
[57] Edward Ott,et al. Approximating the largest eigenvalue of the modified adjacency matrix of networks with heterogeneous node biases. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.
[58] W. Singer,et al. Neuronal avalanches in spontaneous activity in vivo. , 2010, Journal of neurophysiology.
[59] Mauro Copelli,et al. Dynamic range of hypercubic stochastic excitable media. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.
[60] Mark E. J. Newman,et al. The Structure and Function of Complex Networks , 2003, SIAM Rev..
[61] R. FitzHugh. Impulses and Physiological States in Theoretical Models of Nerve Membrane. , 1961, Biophysical journal.
[62] A. Hodgkin,et al. A quantitative description of membrane current and its application to conduction and excitation in nerve , 1952, The Journal of physiology.
[63] T. E. Harris,et al. The Theory of Branching Processes. , 1963 .
[64] E. Ott,et al. The effect of network topology on the stability of discrete state models of genetic control , 2009, Proceedings of the National Academy of Sciences.
[65] Joshua E S Socolar,et al. Exhaustive percolation on random networks. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.
[66] Xin-Jian Xu,et al. Excitable Greenberg-Hastings cellular automaton model on scale-free networks. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.
[67] M. Newman,et al. Mixing patterns in networks. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.
[68] F. Galton,et al. On the Probability of the Extinction of Families , 1875 .
[69] Alessandro Vespignani,et al. Epidemic dynamics and endemic states in complex networks. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.
[70] L. Abbott,et al. Neural network dynamics. , 2005, Annual review of neuroscience.
[71] M. Newman,et al. Simple model of epidemics with pathogen mutation. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.
[72] Michael Fisher,et al. Neurons and Networks , 2001 .
[73] O. Kinouchi,et al. Intensity coding in two-dimensional excitable neural networks , 2004, q-bio/0409032.