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Synchrony, waves and ripple in spatially coupled Kuramoto oscillators with Mexican hat connectivity

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Abstract

Spatiotemporal waves of synchronized activity are known to arise in oscillatory neural networks with lateral inhibitory coupling. How such patterns respond to dynamic changes in coupling strength is largely unexplored. The present study uses analysis and simulation to investigate the evolution of wave patterns when the strength of lateral inhibition is varied dynamically. Neural synchronization was modeled by a spatial ring of Kuramoto oscillators with Mexican hat lateral coupling. Broad bands of coexisting stable wave solutions were observed at all levels of inhibition. The stability of these waves was formally analyzed in both the infinite ring and the finite ring. The broad range of multi-stability predicted hysteresis in transitions between neighboring wave solutions when inhibition is slowly varied. Numerical simulation confirmed the predicted transitions when inhibition was ramped down from a high initial value. However, non-wave solutions emerged from the uniform solution when inhibition was ramped upward from zero. These solutions correspond to spatially periodic deviations of phase that we call ripple states. Numerical continuation showed that stable ripple states emerge from synchrony via a supercritical pitchfork bifurcation. The normal form of this bifurcation was derived analytically, and its predictions compared against the numerical results. Ripple states were also found to bifurcate from wave solutions, but these were locally unstable. Simulation also confirmed the existence of hysteresis and ripple states in two spatial dimensions. Our findings show that spatial synchronization patterns can remain structurally stable despite substantial changes in network connectivity.

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References

  • Abrams DM, Strogatz SH (2004) Chimera states for coupled oscillators. Phys Rev Lett 93(17):174,102

    Article  Google Scholar 

  • Amari S (1977) Dynamics of pattern formation in lateral-inhibition type neural fields. Biol Cybern 27(2):77–87

    Article  CAS  PubMed  Google Scholar 

  • Benucci A, Frazor RA, Carandini M (2007) Standing waves and traveling waves distinguish two circuits in visual cortex. Neuron 55(1):103–117

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  • Breakspear M, Heitmann S, Daffertshofer A (2010) Generative models of cortical oscillations: neurobiological implications of the Kuramoto model. Front Hum Neurosci 4:190

    Article  PubMed Central  PubMed  Google Scholar 

  • Delaney KR, Gelperin A, Fee MS, Flores JA, Gervais R, Tank DW, Kleinfeld D (1994) Waves and stimulus-modulated dynamics in an oscillating olfactory network. PNAS 91(2):669–673

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  • Dhooge A, Govaerts W, Kuznetsov YA (2003) MATCONT: a MATLAB package for numerical bifurcation analysis of ODEs. ACM Trans Math Softw 29(2):141–164

    Article  Google Scholar 

  • Ermentrout B (1996) Type I membranes, phase resetting curves, and synchrony. Neural Comput 8(5):979–1001

    Article  CAS  PubMed  Google Scholar 

  • Ermentrout B (1998) Neural networks as spatio-temporal pattern-forming systems. Rep Prog Phys 61:353

    Article  Google Scholar 

  • Ermentrout B, Flores J, Gelperin A (1998) Minimal model of oscillations and waves in the limax olfactory lobe with tests of the model’s predictive power. J Neurophysiol 79(5):2677–2689

    CAS  PubMed  Google Scholar 

  • Ermentrout GB (1981) Stable small-amplitude solutions in reaction–diffusion systems. Q Appl Math 39(1):61–86

    Google Scholar 

  • Ermentrout GB (1985) The behavior of rings of coupled oscillators. J Math Biol 23(1):55–74

    Article  CAS  PubMed  Google Scholar 

  • Ermentrout GB, Kleinfeld D (2001) Traveling electrical waves in cortex: insights from phase dynamics and speculation on a computational role. Neuron 29(1):33–44

    Article  CAS  PubMed  Google Scholar 

  • Fife PC (1978) Asymptotic states for equations of reaction and diffusion. Bull Am Math Soc 84(5):693–726

    Article  Google Scholar 

  • Friston KJ (1994) Functional and effective connectivity in neuroimaging: a synthesis. Hum Brain Mapp 2(1–2):56–78

    Article  Google Scholar 

  • Friston KJ (2011) Functional and effective connectivity: a review. Brain Connect 1(1):13–36

    Article  PubMed  Google Scholar 

  • Girnyk T, Hasler M, Maistrenko Y (2012) Multistability of twisted states in non-locally coupled Kuramoto-type models. Chaos 22(1):013,114

    Article  Google Scholar 

  • Hansel D, Mato G, Meunier C (1995) Synchrony in excitatory neural networks. Neural Comput 7(2):307–337

    Article  CAS  PubMed  Google Scholar 

  • Heitmann S, Gong P, Breakspear M (2012) A computational role for bistability and traveling waves in motor cortex. Front Comput Neurosci 6(67):1–15

    Google Scholar 

  • Heitmann S, Boonstra T, Breakspear M (2013) A dendritic mechanism for decoding traveling waves: principles and applications to motor cortex. PLoS Comput Biol 9(10):e1003,260

    Article  Google Scholar 

  • Huang X, Troy WC, Yang Q, Ma H, Laing CR, Schiff SJ, Wu JY (2004) Spiral waves in disinhibited mammalian neocortex. J Neurosci 24(44):9897–9902

  • Jirsa VK, McIntosh AR (2007) Handbook of brain connectivity, vol 1. Springer, Berlin

    Book  Google Scholar 

  • Kazanci FG, Ermentrout B (2007) Pattern formation in an array of oscillators with electrical and chemical coupling. SIAM J Appl Math 67(2):512–529

    Article  Google Scholar 

  • Kuramoto Y (1984) Chemical oscillations, waves, and turbulence. Springer, Berlin

    Book  Google Scholar 

  • Laing CR (2009) The dynamics of chimera states in heterogeneous Kuramoto networks. Phys D Nonlinear Phenom 238(16):1569–1588

    Article  CAS  Google Scholar 

  • Lubenov EV, Siapas AG (2009) Hippocampal theta oscillations are travelling waves. Nature 459(7246):534–539

    Article  CAS  PubMed  Google Scholar 

  • Nauhaus I, Busse L, Carandini M, Ringach DL (2009) Stimulus contrast modulates functional connectivity in visual cortex. Nat Neurosci 12(1):70–76

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  • Omel’chenko E, Wolfrum M, Laing CR (2014) Partially coherent twisted states in arrays of coupled phase oscillators. Chaos 24(2):023,102

    Article  Google Scholar 

  • Rinzel J, Ermentrout GB (1998) Analysis of neural excitability and oscillations. Methods Neuronal Model 2:251–292

    Google Scholar 

  • Rubino D, Robbins K, Hatsopoulos N (2006) Propagating waves mediate information transfer in the motor cortex. Nat Neurosci 9(12):1557–1549

    Article  Google Scholar 

  • Sethia GC, Sen A, Atay FM (2011) Phase-locked solutions and their stability in the presence of propagation delays. Pramana 77(5):905–915

    Article  Google Scholar 

  • Sporns O, Tononi G, Edelman GM (2000) Connectivity and complexity: the relationship between neuroanatomy and brain dynamics. Neural Netw 13(8):909–922

    Article  CAS  PubMed  Google Scholar 

  • Tononi G, Sporns O, Edelman GM (1994) A measure for brain complexity: relating functional segregation and integration in the nervous system. PNAS 91(11):5033–5037

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  • Wiley DA, Strogatz SH, Girvan M (2006) The size of the sync basin. Chaos 16(1):015,103

    Article  Google Scholar 

  • Wu JY, Huang X, Zhang C (2008) Propagating waves of activity in the neocortex: what they are, what they do. Neuroscientist 14(5):487–502

    Article  PubMed Central  CAS  PubMed  Google Scholar 

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Correspondence to Stewart Heitmann.

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This work was funded by USA National Science Foundation (NSF) award 1219753.

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Heitmann, S., Ermentrout, G.B. Synchrony, waves and ripple in spatially coupled Kuramoto oscillators with Mexican hat connectivity. Biol Cybern 109, 333–347 (2015). https://doi.org/10.1007/s00422-015-0646-6

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