Network mechanism for burst generation.

We report on the mechanism of burst generation by populations of intrinsically spiking neurons, when a certain threshold in coupling strength is exceeded. These ensembles synchronize at relatively low coupling strength and lose synchronization at stronger coupling via spatiotemporal intermittency. The latter transition triggers fast repetitive spiking, which results in synchronized bursting. We present evidence that this mechanism is generic for various network topologies from regular to small-world and scale-free ones, different types of coupling and neuronal model.

[1]  W. Singer,et al.  Dynamic predictions: Oscillations and synchrony in top–down processing , 2001, Nature Reviews Neuroscience.

[2]  A. Selverston,et al.  Dynamical principles in neuroscience , 2006 .

[3]  Kurths,et al.  Phase synchronization of chaotic oscillators. , 1996, Physical review letters.

[4]  Ramón Huerta,et al.  Dynamical encoding by networks of competing neuron groups: winnerless competition. , 2001 .

[5]  Y. Arshavsky,et al.  Dual sensory-motor function for a molluskan statocyst network. , 2004, Journal of neurophysiology.

[6]  A. Schnitzler,et al.  Normal and pathological oscillatory communication in the brain , 2005, Nature Reviews Neuroscience.

[7]  S. Boccaletti,et al.  Synchronization of chaotic systems , 2001 .

[8]  Jürgen Kurths,et al.  Synchronization - A Universal Concept in Nonlinear Sciences , 2001, Cambridge Nonlinear Science Series.

[9]  R Huerta,et al.  Dynamical encoding by networks of competing neuron groups: winnerless competition. , 2001, Physical review letters.

[10]  J. Lisman Bursts as a unit of neural information: making unreliable synapses reliable , 1997, Trends in Neurosciences.

[11]  Y. Arshavsky,et al.  The Role of Sensory Network Dynamics in Generating a Motor Program , 2005, The Journal of Neuroscience.

[12]  N. I. Kononenko,et al.  Deterministic chaos in mathematical model of pacemaker activity in bursting neurons of snail, Helix pomatia. , 1996, Journal of theoretical biology.

[13]  Jürgen Kurths,et al.  Detection of n:m Phase Locking from Noisy Data: Application to Magnetoencephalography , 1998 .

[14]  M. Steriade,et al.  Neocortical seizures: initiation, development and cessation , 2004, Neuroscience.

[15]  Nikolai F. Rulkov,et al.  Oscillations in Large-Scale Cortical Networks: Map-Based Model , 2004, Journal of Computational Neuroscience.

[16]  G. Cecchi,et al.  Scale-free brain functional networks. , 2003, Physical review letters.

[17]  J. Rinzel,et al.  Rhythmogenic effects of weak electrotonic coupling in neuronal models. , 1992, Proceedings of the National Academy of Sciences of the United States of America.

[18]  Nikolai F Rulkov,et al.  Modeling of spiking-bursting neural behavior using two-dimensional map. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

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

[20]  T. Sejnowski,et al.  Origin of slow cortical oscillations in deafferented cortical slabs. , 2000, Cerebral cortex.

[21]  J. Dostrovsky,et al.  Neuronal Oscillations in the Basal Ganglia and Movement Disorders: Evidence from Whole Animal and Human Recordings , 2004, The Journal of Neuroscience.

[22]  S. Grillner The motor infrastructure: from ion channels to neuronal networks , 2003, Nature Reviews Neuroscience.

[23]  E. Marder,et al.  Principles of rhythmic motor pattern generation. , 1996, Physiological reviews.

[24]  H. Robinson,et al.  The mechanisms of generation and propagation of synchronized bursting in developing networks of cortical neurons , 1995, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[25]  V I Nekorkin,et al.  Spiking patterns emerging from wave instabilities in a one-dimensional neural lattice. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[26]  Terrence J. Sejnowski,et al.  Synthesis of models for excitable membranes, synaptic transmission and neuromodulation using a common kinetic formalism , 1994, Journal of Computational Neuroscience.

[27]  Jürgen Kurths,et al.  Synchronized chaotic intermittent and spiking behavior in coupled map chains. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[28]  Carmen C Canavier,et al.  Electrical coupling between model midbrain dopamine neurons: effects on firing pattern and synchrony. , 2002, Journal of neurophysiology.

[29]  Albert-László Barabási,et al.  Statistical mechanics of complex networks , 2001, ArXiv.

[30]  S. Strogatz Exploring complex networks , 2001, Nature.

[31]  N. Rulkov Regularization of synchronized chaotic bursts. , 2000, Physical review letters.

[32]  Michael A. Arbib,et al.  The handbook of brain theory and neural networks , 1995, A Bradford book.

[33]  Jürgen Kurths,et al.  Synchronization: Phase locking and frequency entrainment , 2001 .

[34]  T. Sejnowski,et al.  Thalamocortical oscillations in the sleeping and aroused brain. , 1993, Science.