Bumps and rings in a two-dimensional neural field: splitting and rotational instabilities

In this paper we consider instabilities of localised solutions in planar neural field firing rate models of Wilson-Cowan or Amari type. Importantly we show that angular perturbations can destabilise spatially localised solutions. For a scalar model with Heaviside firing rate function we calculate symmetric one-bump and ring solutions explicitly and use an Evans function approach to predict the point of instability and the shapes of the dominant growing modes. Our predictions are shown to be in excellent agreement with direct numerical simulations. Moreover, beyond the instability our simulations demonstrate the emergence of multi-bump and labyrinthine patterns. With the addition of spike-frequency adaptation, numerical simulations of the resulting vector model show that it is possible for structures without rotational symmetry, and in particular multi-bumps, to undergo an instability to a rotating wave. We use a general argument, valid for smooth firing rate functions, to establish the conditions necessary to generate such a rotational instability. Numerical continuation of the rotating wave is used to quantify the emergent angular velocity as a bifurcation parameter is varied. Wave stability is found via the numerical evaluation of an associated eigenvalue problem.

[1]  G. A. Watson A treatise on the theory of Bessel functions , 1944 .

[2]  J. Cowan,et al.  Excitatory and inhibitory interactions in localized populations of model neurons. , 1972, Biophysical journal.

[3]  S. Amari,et al.  Existence and stability of local excitations in homogeneous neural fields , 1979, Journal of mathematical biology.

[4]  J J Hopfield,et al.  Neurons with graded response have collective computational properties like those of two-state neurons. , 1984, Proceedings of the National Academy of Sciences of the United States of America.

[5]  J. E. Pearson Complex Patterns in a Simple System , 1993, Science.

[6]  P. Tass Cortical pattern formation during visual hallucinations , 1995 .

[7]  P. Goldman-Rakic Cellular basis of working memory , 1995, Neuron.

[8]  M. Goldberg,et al.  Oculocentric spatial representation in parietal cortex. , 1995, Cerebral cortex.

[9]  Petrich,et al.  Interface proliferation and the growth of labyrinths in a reaction-diffusion system. , 1996, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[10]  J. G. Taylor,et al.  Neural ‘bubble’ dynamics in two dimensions: foundations , 1999, Biological Cybernetics.

[11]  M. Golubitsky,et al.  Geometric visual hallucinations, Euclidean symmetry and the functional architecture of striate cortex. , 2001, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[12]  Herrad Werner,et al.  Circular stationary solutions in two-dimensional neural fields , 2001, Biological Cybernetics.

[13]  Bard Ermentrout,et al.  Spatially Structured Activity in Synaptically Coupled Neuronal Networks: I. Traveling Fronts and Pulses , 2001, SIAM J. Appl. Math..

[14]  Xiao-Jing Wang,et al.  The dynamical stability of reverberatory neural circuits , 2002, Biological Cybernetics.

[15]  Boris S. Gutkin,et al.  Multiple Bumps in a Neuronal Model of Working Memory , 2002, SIAM J. Appl. Math..

[16]  Rotational bifurcation of localized dissipative structures , 2003 .

[17]  Carlo R. Laing,et al.  PDE Methods for Nonlocal Models , 2003, SIAM J. Appl. Dyn. Syst..

[18]  G. Lord,et al.  Waves and bumps in neuronal networks with axo-dendritic synaptic interactions , 2003 .

[19]  J. Cowan,et al.  A mathematical theory of visual hallucination patterns , 1979, Biological Cybernetics.

[20]  S. Amari Dynamics of pattern formation in lateral-inhibition type neural fields , 1977, Biological Cybernetics.

[21]  S. Amari Homogeneous nets of neuron-like elements , 1975, Biological Cybernetics.

[22]  Xiao-Jing Wang,et al.  Spike-Frequency Adaptation of a Generalized Leaky Integrate-and-Fire Model Neuron , 2004, Journal of Computational Neuroscience.

[23]  Stephen Coombes,et al.  Evans Functions for Integral Neural Field Equations with Heaviside Firing Rate Function , 2004, SIAM J. Appl. Dyn. Syst..

[24]  Inna Mikhailova,et al.  Conditions of activity bubble uniqueness in dynamic neural fields , 2005, Biological Cybernetics.

[25]  Donald A. French Identification of a free energy functional in an integro-differential equation model for neuronal network activity , 2004, Appl. Math. Lett..

[26]  Tasso J. Kaper,et al.  Axisymmetric ring solutions of the 2D Gray–Scott model and their destabilization into spots , 2004 .

[27]  Paul C. Bressloff,et al.  Breathing Pulses in an Excitatory Neural Network , 2004, SIAM J. Appl. Dyn. Syst..

[28]  J. Cowan,et al.  A mathematical theory of the functional dynamics of cortical and thalamic nervous tissue , 1973, Kybernetik.

[29]  S. Coombes,et al.  Bumps, breathers, and waves in a neural network with spike frequency adaptation. , 2005, Physical review letters.

[30]  Stephen Coombes,et al.  Waves, bumps, and patterns in neural field theories , 2005, Biological Cybernetics.

[31]  Paul C. Bressloff,et al.  Spontaneous symmetry breaking in self–organizing neural fields , 2005, Biological Cybernetics.

[32]  Carlo R. Laing,et al.  Spiral Waves in Nonlocal Equations , 2005, SIAM J. Appl. Dyn. Syst..

[33]  J. Michael Herrmann,et al.  Localized activations in a simple neural field model , 2005, Neurocomputing.

[34]  C. Eugene Wayne,et al.  Existence and Stability of Traveling Pulses in a Continuous Neuronal Network , 2005, SIAM J. Appl. Dyn. Syst..

[35]  Björn Sandstede,et al.  Evans Functions and Nonlinear Stability of Traveling Waves in Neuronal Network Models , 2007, Int. J. Bifurc. Chaos.