Globally Coupled Oscillator Networks

We study a class of permutation-symmetric globally-coupled, phase oscillator networks on N-dimensional tori. We focus on the effects of symmetry and of the forms of the coupling functions, derived from underlying Hodgkin-Huxley type neuron models, on the existence, stability, and degeneracy of phase-locked solutions in which subgroups of oscillators share common phases. We also estimate domains of attraction for the completely synchronized state. Implications for stochastically forced networks and ones with random natural frequencies are discussed and illustrated numerically. We indicate an application to modeling the brain structure locus coeruleus: an organ involved in cognitive control.

[1]  A. Hodgkin,et al.  A quantitative description of membrane current and its application to conduction and excitation in nerve , 1952, The Journal of physiology.

[2]  N. G. Parke,et al.  Ordinary Differential Equations. , 1958 .

[3]  N. Rashevsky,et al.  Mathematical biology , 1961, Connecticut medicine.

[4]  P. Hartman Ordinary Differential Equations , 1965 .

[5]  Neil Fenichel Persistence and Smoothness of Invariant Manifolds for Flows , 1971 .

[6]  V. Arnold,et al.  Ordinary Differential Equations , 1973 .

[7]  P. Holmes,et al.  Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields , 1983, Applied Mathematical Sciences.

[8]  J. T. Williams,et al.  Membrane properties of rat locus coeruleus neurones , 1984, Neuroscience.

[9]  M. Freidlin,et al.  Random Perturbations of Dynamical Systems , 1984 .

[10]  Yoshiki Kuramoto,et al.  Chemical Oscillations, Waves, and Turbulence , 1984, Springer Series in Synergetics.

[11]  M. Golubitsky,et al.  Singularities and groups in bifurcation theory , 1985 .

[12]  James L. McClelland,et al.  Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations , 1986 .

[13]  Gary Aston-Jones,et al.  Responses of primate locus coeruleus neurons to simple and complex sensory stimuli , 1988, Brain Research Bulletin.

[14]  W. Zhu Stochastic Averaging Methods in Random Vibration , 1988 .

[15]  G. Ermentrout,et al.  Phase transition and other phenomena in chains of coupled oscilators , 1990 .

[16]  G. Ermentrout,et al.  Oscillator death in systems of coupled neural oscillators , 1990 .

[17]  J D Cohen,et al.  A network model of catecholamine effects: gain, signal-to-noise ratio, and behavior. , 1990, Science.

[18]  G. Ermentrout,et al.  On chains of oscillators forced at one end , 1991 .

[19]  S. Strogatz,et al.  Dynamics of a globally coupled oscillator array , 1991 .

[20]  Honeycutt,et al.  Stochastic Runge-Kutta algorithms. I. White noise. , 1992, Physical review. A, Atomic, molecular, and optical physics.

[21]  Nichols,et al.  Ubiquitous neutral stability of splay-phase states. , 1992, Physical review. A, Atomic, molecular, and optical physics.

[22]  Hansel,et al.  Clustering in globally coupled phase oscillators. , 1992, Physical review. A, Atomic, molecular, and optical physics.

[23]  P. Ashwin,et al.  The dynamics ofn weakly coupled identical oscillators , 1992 .

[24]  K. Okuda Variety and generality of clustering in globally coupled oscillators , 1993 .

[25]  Bard Ermentrout,et al.  Inhibition-Produced Patterning in Chains of Coupled Nonlinear Oscillators , 1994, SIAM J. Appl. Math..

[26]  G. Aston-Jones,et al.  Locus coeruleus neurons in monkey are selectively activated by attended cues in a vigilance task , 1994, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[27]  G. Kane Parallel Distributed Processing: Explorations in the Microstructure of Cognition, vol 1: Foundations, vol 2: Psychological and Biological Models , 1994 .

[28]  S. Strogatz,et al.  Constants of motion for superconducting Josephson arrays , 1994 .

[29]  S. Wiggins Normally Hyperbolic Invariant Manifolds in Dynamical Systems , 1994 .

[30]  Daido,et al.  Generic scaling at the onset of macroscopic mutual entrainment in limit-cycle oscillators with uniform all-to-all coupling. , 1994, Physical review letters.

[31]  J. Crawford,et al.  Scaling and singularities in the entrainment of globally coupled oscillators. , 1995, Physical review letters.

[32]  Germán Mato,et al.  Synchrony in Excitatory Neural Networks , 1995, Neural Computation.

[33]  Wulfram Gerstner,et al.  What Matters in Neuronal Locking? , 1996, Neural Computation.

[34]  James W. Swift,et al.  Stability of Periodic Solutions in Series Arrays of Josephson Junctions with Internal Capacitance , 1996 .

[35]  Bard Ermentrout,et al.  Type I Membranes, Phase Resetting Curves, and Synchrony , 1996, Neural Computation.

[36]  R. Morris Foundations of cellular neurophysiology , 1996 .

[37]  J. Crawford,et al.  Synchronization of globally coupled phase oscillators: singularities and scaling for general couplings , 1997 .

[38]  Yoshiki Kuramoto,et al.  Phase- and Center-Manifold Reductions for Large Populations of Coupled Oscillators with Application to Non-Locally Coupled Systems , 1997 .

[39]  E. Izhikevich,et al.  Weakly connected neural networks , 1997 .

[40]  P. Holmes,et al.  Simple models for excitable and oscillatory neural networks , 1998, Journal of mathematical biology.

[41]  James P. Keener,et al.  Mathematical physiology , 1998 .

[42]  S. Strogatz,et al.  Frequency locking in Josephson arrays: Connection with the Kuramoto model , 1998 .

[43]  P. Bressloff,et al.  Spike train dynamics underlying pattern formation in integrate-and-fire oscillator networks , 1998 .

[44]  J. Cohen,et al.  The role of locus coeruleus in the regulation of cognitive performance. , 1999, Science.

[45]  Carson C. Chow,et al.  Dynamics of Spiking Neurons with Electrical Coupling , 2000, Neural Computation.

[46]  Sang Gui Lee,et al.  Phase dynamics in the biological neural networks , 2000 .

[47]  L Sirovich,et al.  A population approach to cortical dynamics with an application to orientation tuning , 2000, Network.

[48]  S. Strogatz From Kuramoto to Crawford: exploring the onset of synchronization in populations of coupled oscillators , 2000 .

[49]  Eugene M. Izhikevich,et al.  Phase Equations for Relaxation Oscillators , 2000, SIAM J. Appl. Math..

[50]  Lawrence Sirovich,et al.  Dynamics of Neuronal Populations: The Equilibrium Solution , 2000, SIAM J. Appl. Math..

[51]  Bard Ermentrout,et al.  When inhibition not excitation synchronizes neural firing , 1994, Journal of Computational Neuroscience.

[52]  Lawrence Sirovich,et al.  On the Simulation of Large Populations of Neurons , 2004, Journal of Computational Neuroscience.