Abstract
We consider neural field models in both one and two spatial dimensions and show how for some coupling functions they can be transformed into equivalent partial differential equations (PDEs). In one dimension we find snaking families of spatially-localised solutions, very similar to those found in reversible fourth-order ordinary differential equations. In two dimensions we analyse spatially-localised bump and ring solutions and show how they can be unstable with respect to perturbations which break rotational symmetry, thus leading to the formation of complex patterns. Finally, we consider spiral waves in a system with purely positive coupling and a second slow variable. These waves are solutions of a PDE in two spatial dimensions, and by numerically following these solutions as parameters are varied, we can determine regions of parameter space in which stable spiral waves exist.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Amari, S.: Dynamics of pattern formation in lateral-inhibition type neural fields. Biol. Cybern. 27(2), 77–87 (1977)
Bär, M., Bangia, A., Kevrekidis, I.: Bifurcation and stability analysis of rotating chemical spirals in circular domains: boundary-induced meandering and stabilization. Phys. Rev. E 67(5), 056,126 (2003)
Barkley, D.: Linear stability analysis of rotating spiral waves in excitable media. Phys. Rev. Lett. 68(13), 2090–2093 (1992)
Beurle, R.L.: Properties of a mass of cells capable of regenerating pulses. Philos. Trans. R. Soc. B: Biol. Sci. 240(669), 55–94 (1956)
Beyn, W., Thümmler, V.: Freezing solutions of equivariant evolution equations. SIAM J. Appl. Dyn. Syst. 3(2), 85–116 (2004)
Blomquist, P., Wyller, J., Einevoll, G.: Localized activity patterns in two-population neuronal networks. Phys. D: Nonlinear Phenom. 206(3–4), 180–212 (2005)
Bojak, I., Liley, D.T.J.: Modeling the effects of anesthesia on the electroencephalogram. Phys. Rev. E 71, 041,902 (2005). doi:10.1103/PhysRevE.71.041902. http://link.aps.org/doi/10.1103/PhysRevE.71.041902
Bressloff, P.C.: Spatiotemporal dynamics of continuum neural fields. J. Phys. A: Math. Theor. 45(3), 033,001 (2012). http://stacks.iop.org/1751-8121/45/i=3/a=033001
Bressloff, P.C., Kilpatrick, Z.P.: Two-dimensional bumps in piecewise smooth neural fields with synaptic depression. SIAM J. Appl. Math. 71(2), 379–408 (2011). doi:10.1137/100799423. http://link.aip.org/link/?SMM/71/379/1
Burke, J., Knobloch, E.: Homoclinic snaking: structure and stability. Chaos 17(3), 037,102 (2007). doi:10.1063/1.2746816. http://link.aip.org/link/?CHA/17/037102/1
Champneys, A.: Homoclinic orbits in reversible systems and their applications in mechanics, fluids and optics. Phys. D: Nonlinear Phenom. 112(1–2), 158–186 (1998)
Coombes, S.: Waves, bumps, and patterns in neural field theories. Biol. Cybern. 93(2), 91–108 (2005)
Coombes, S., Owen, M.: Bumps, breathers, and waves in a neural network with spike frequency adaptation. Phys. Rev. Lett. 94(14), 148,102 (2005)
Coombes, S., Schmidt, H., Bojak, I.: Interface dynamics in planar neural field models. J. Math. Neurosci. 2(1), 1–27 (2012)
Coombes, S., Venkov, N., Shiau, L., Bojak, I., Liley, D., Laing, C.: Modeling electrocortical activity through improved local approximations of integral neural field equations. Phys. Rev. E 76(5), 051,901 (2007)
Doubrovinski, K., Herrmann, J.: Stability of localized patterns in neural fields. Neural comput. 21(4), 1125–1144 (2009)
Elvin, A.: Pattern formation in a neural field model. Ph.D. thesis, Massey University, New Zealand (2008)
Elvin, A., Laing, C., McLachlan, R., Roberts, M.: Exploiting the Hamiltonian structure of a neural field model. Phys. D: Nonlinear Phenom. 239(9), 537–546 (2010)
Ermentrout, B.: Neural networks as spatio-temporal pattern-forming systems. Rep. Prog. Phys. 61, 353 (1998)
Ermentrout, G.B., Cowan, J.D.: A mathematical theory of visual hallucination patterns. Biol. Cybern. 34, 137–150 (1979)
Faye, G., Rankin, J., Chossat, P.: Localized states in an unbounded neural field equation with smooth firing rate function: a multi-parameter analysis. J. Math. Biol. 66(6), 1303–1338 (2013)
Folias, S.E.: Nonlinear analysis of breathing pulses in a synaptically coupled neural network. SIAM J. Appl. Dyn. Syst. 10, 744–787 (2011)
Folias, S., Bressloff, P.: Breathing pulses in an excitatory neural network. SIAM J. Appl. Dyn. Syst. 3(3), 378–407 (2004)
Folias, S.E., Bressloff, P.C.: Breathers in two-dimensional neural media. Phys. Rev. Lett. 95, 208,107 (2005). doi:10.1103/PhysRevLett.95.208107. http://link.aps.org/doi/10.1103/PhysRevLett.95.208107
Griffith, J.: A field theory of neural nets: I: derivation of field equations. Bull. Math. Biol. 25, 111–120 (1963)
Guo, Y., Chow, C.C.: Existence and stability of standing pulses in neural networks: I. Existence. SIAM J. Appl. Dyn. Syst. 4, 217–248 (2005). doi:10.1137/040609471. http://link.aip.org/link/?SJA/4/217/1
Huang, X., Troy, W., Yang, Q., Ma, H., Laing, C., Schiff, S., Wu, J.: Spiral waves in disinhibited mammalian neocortex. J. Neurosci. 24(44), 9897 (2004)
Huang, X., Xu, W., Liang, J., Takagaki, K., Gao, X., Wu, J.Y.: Spiral wave dynamics in neocortex. Neuron 68(5), 978–990 (2010)
Hutt, A., Rougier, N.: Activity spread and breathers induced by finite transmission speeds in two-dimensional neural fields. Phys. Rev. E 82, 055,701 (2010). doi:10.1103/PhysRevE.82.055701. http://link.aps.org/doi/10.1103/PhysRevE.82.055701
Jirsa, V.K., Haken, H.: Field theory of electromagnetic brain activity. Phys. Rev. Lett. 77, 960–963 (1996). doi:10.1103/PhysRevLett.77.960. http://link.aps.org/doi/10.1103/PhysRevLett.77.960
Kilpatrick, Z., Bressloff, P.: Spatially structured oscillations in a two-dimensional excitatory neuronal network with synaptic depression. J. Comput. Neurosci. 28, 193–209 (2010)
Laing, C.: Spiral waves in nonlocal equations. SIAM J. Appl. Dyn. Syst. 4(3), 588–606 (2005)
Laing, C., Coombes, S.: The importance of different timings of excitatory and inhibitory pathways in neural field models. Netw. Comput. Neural Syst. 17(2), 151–172 (2006)
Laing, C., Glendinning, P.: Bifocal homoclinic bifurcations. Phys. D: Nonlinear Phenom. 102(1–2), 1–14 (1997)
Laing, C., Troy, W.: PDE methods for nonlocal models. SIAM J. Appl. Dyn. Syst. 2(3), 487–516 (2003)
Laing, C., Troy, W., Gutkin, B., Ermentrout, G.: Multiple bumps in a neuronal model of working memory. SIAM J. Appl. Math. 63, 62 (2002)
Liley, D., Cadusch, P., Dafilis, M.: A spatially continuous mean field theory of electrocortical activity. Netw. Comput. Neural Syst. 13(1), 67–113 (2002)
Owen, M., Laing, C., Coombes, S.: Bumps and rings in a two-dimensional neural field: splitting and rotational instabilities. New J. Phys. 9, 378 (2007)
Pinto, D., Ermentrout, G.: Spatially structured activity in synaptically coupled neuronal networks: I. Traveling fronts and pulses. SIAM J. Appl. Math. 62(1), 206–225 (2001)
Pinto, D., Ermentrout, G.: Spatially structured activity in synaptically coupled neuronal networks: II. Lateral inhibition and standing pulses. SIAM J. Appl. Math. 62(1), 226–243 (2001)
Wilson, H., Cowan, J.: A mathematical theory of the functional dynamics of cortical and thalamic nervous tissue. Biol. Cybern. 13(2), 55–80 (1973)
Woods, P., Champneys, A.: Heteroclinic tangles and homoclinic snaking in the unfolding of a degenerate reversible Hamiltonian-Hopf bifurcation. Phys. D: Nonlinear Phenom. 129(3–4), 147–170 (1999). doi:10.1016/S0167-2789(98)00309-1. http://www.sciencedirect.com/science/article/pii/S0167278998003091
Zhang, K.: Representation of spatial orientation by the intrinsic dynamics of the head-direction cell ensemble: a theory. J. Neurosci. 16(6), 2112–2126 (1996)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Laing, C.R. (2014). PDE Methods for Two-Dimensional Neural Fields. In: Coombes, S., beim Graben, P., Potthast, R., Wright, J. (eds) Neural Fields. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54593-1_5
Download citation
DOI: https://doi.org/10.1007/978-3-642-54593-1_5
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-54592-4
Online ISBN: 978-3-642-54593-1
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)