Stability and Bifurcations in Neural Fields with Finite Propagation Speed and General Connectivity

A stability analysis is presented for neural field equations in the presence of finite propagation speed along axons and for a general class of connectivity kernels and synaptic properties. Sufficient conditions are given for the stability of equilibrium solutions. It is shown that the propagation delays play a significant role in nonstationary bifurcations of equilibria, whereas the stationary bifurcations depend only on the connectivity kernel. In the case of nonstationary bifurcations, bounds are determined on the frequencies of the resulting oscillatory solutions. A perturbative scheme is used to calculate the types of bifurcations leading to spatial patterns, oscillations, and traveling waves. For high propagation speeds a simple method is derived that allows the determination of the bifurcation type by visual inspection of the Fourier transforms of the kernel and its first moment. Results are numerically illustrated on a class of neurologically plausible systems with combinations of Gaussian excitat...

[1]  P. Bressloff SYNAPTICALLY GENERATED WAVE PROPAGATION IN EXCITABLE NEURAL MEDIA , 1999 .

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

[3]  P. Bressloff Traveling waves and pulses in a one-dimensional network of excitable integrate-and-fire neurons , 2000, Journal of mathematical biology.

[4]  W Singer,et al.  Visual feature integration and the temporal correlation hypothesis. , 1995, Annual review of neuroscience.

[5]  H. Schuster,et al.  A model for neuronal oscillations in the visual cortex , 1990, Biological Cybernetics.

[7]  P. Nunez Toward a quantitative description of large-scale neocortical dynamic function and EEG , 2000, Behavioral and Brain Sciences.

[8]  Bard Ermentrout,et al.  Spatially Structured Activity in Synaptically Coupled Neuronal Networks: II. Lateral Inhibition and Standing Pulses , 2001, SIAM J. Appl. Math..

[9]  B. Salzberg,et al.  Optical Recording of Impulses in Individual Neurones of an Invertebrate Central Nervous System , 1973, Nature.

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

[11]  J. Hemmen,et al.  Modeling collective excitations in cortical tissue , 1998 .

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

[13]  Nicolas Brunel,et al.  Fast Global Oscillations in Networks of Integrate-and-Fire Neurons with Low Firing Rates , 1999, Neural Computation.

[14]  Walter J. Freeman,et al.  Characteristics of the Synchronization of Brain Activity imposed by Finite conduction Velocities of axons , 2000, Int. J. Bifurc. Chaos.

[15]  J. Lance,et al.  Current concepts of migraine pathogenesis , 1993, Neurology.

[16]  C. Uhl Analysis of neurophysiological brain functioning , 1999 .

[17]  Viktor K. Jirsa,et al.  Spatiotemporal forward solution of the EEG and MEG using network modeling , 2002, IEEE Transactions on Medical Imaging.

[18]  Peter A. Robinson,et al.  Unified neurophysical model of EEG spectra and evoked potentials , 2002, Biological Cybernetics.

[19]  M. G. Earl,et al.  Synchronization in oscillator networks with delayed coupling: a stability criterion. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[20]  T. Geisel,et al.  Delay-induced multistable synchronization of biological oscillators , 1998 .

[21]  Lance Jw,et al.  Current concepts of migraine pathogenesis. , 1993 .

[22]  Walter J. Freeman,et al.  Neurodynamics: An Exploration in Mesoscopic Brain Dynamics , 2000, Perspectives in Neural Computing.

[23]  James J. Wright,et al.  Propagation and stability of waves of electrical activity in the cerebral cortex , 1997 .

[24]  Jian-Young Wu,et al.  Propagating Activation during Oscillations and Evoked Responses in Neocortical Slices , 1999, The Journal of Neuroscience.

[25]  P. Bressloff,et al.  PHYSICS OF THE EXTENDED NEURON , 1997 .

[26]  A. Grinvald,et al.  Spatio-Temporal Dynamics of Odor Representations in the Mammalian Olfactory Bulb , 2002, Neuron.

[27]  E. G. Jones,et al.  Thalamic oscillations and signaling , 1990 .

[28]  Gerstner Rapid phase locking in systems of pulse-coupled oscillators with delays. , 1996, Physical review letters.

[29]  B. Ermentrout Neural networks as spatio-temporal pattern-forming systems , 1998 .

[30]  P. Goldman-Rakic,et al.  Multiple visual areas in the posterior parietal cortex of primates. , 1993, Progress in brain research.

[31]  Michael Bestehorn,et al.  Activity dynamics in nonlocal interacting neural fields. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[32]  Thomas Wennekers,et al.  Dynamic Approximation of Spatiotemporal Receptive Fields in Nonlinear Neural Field Models , 2002, Neural Computation.

[33]  H. Schuster,et al.  A model for neuronal oscillations in the visual cortex , 1990, Biological Cybernetics.

[34]  P. Nunez,et al.  Neocortical Dynamics and Human EEG Rhythms , 1995 .

[35]  Thomas Wennekers,et al.  Pattern formation in intracortical neuronal fields , 2003, Network.

[36]  G. Ermentrout,et al.  Effects of delay on the type and velocity of travelling pulses in neuronal networks with spatially decaying connectivity , 2000, Network.

[37]  A. Grinvald,et al.  Real-time optical imaging of naturally evoked electrical activity in intact frog brain , 1984, Nature.

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

[39]  Hermann Haken Effect of delay on phase locking in a pulse coupled neural network , 2000 .

[40]  I. S. Gradshteyn,et al.  Table of Integrals, Series, and Products , 1976 .

[41]  P. Robinson,et al.  Modal analysis of corticothalamic dynamics, electroencephalographic spectra, and evoked potentials. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[42]  J. Kaas,et al.  Cortical integration of parallel pathways in the visual system of primates , 1989, Brain Research.

[43]  W. Singer,et al.  Interhemispheric synchronization of oscillatory neuronal responses in cat visual cortex , 1991, Science.

[44]  T Hervé,et al.  Diffusion and innovation rates for multidimensional neuronal data with large spatial covariances , 2000, Network.

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

[46]  James J. Wright,et al.  The electroencephalogram and cortical neural networks , 1992 .

[47]  G. Blasdel,et al.  Voltage-sensitive dyes reveal a modular organization in monkey striate cortex , 1986, Nature.

[48]  G. Ermentrout,et al.  The evolution of synaptically generated waves in one- and two-dimensional domains , 2002 .

[49]  H. Haken,et al.  A derivation of a macroscopic field theory of the brain from the quasi-microscopic neural dynamics , 1997 .

[50]  P. Tass,et al.  Sscillatory Cortical Activity during Visual Hallucinations , 1997, Journal of biological physics.

[51]  Peter König,et al.  Mechanisms to synchronize neuronal activity , 2001, Biological Cybernetics.

[52]  S. Strogatz,et al.  Time Delay in the Kuramoto Model of Coupled Oscillators , 1998, chao-dyn/9807030.