Cooperative behavior of a chain of synaptically coupled chaotic neurons

Abstract A coupled linear chain of Hindmarsh-Rose model neurons with reciprocal inhibition between neighboring neurons exhibited synchronous oscillations in which neighboring neurons burst out-of-phase and next nearest neighbor neurons burst in-phase. The bifurcations observed inside this “out-of-phase” regime were qualitatively the same for all chains with an even number of neurons and were similar to those observed in a single isolated cell, although the organization of the behavior of a chain of coupled neurons was more regular than that of an isolated cell. When noise was added to the synaptic coupling strengths, there was less hysteresis in the system and many of the bifurcations with smaller basins of attraction were eliminated, making the system even more regular. These results suggest that in populations of bursting neurons with reciprocal inhibition, the chaotic behavior found in single cells is suppressed.

[1]  Y. Pomeau,et al.  Intermittent transition to turbulence in dissipative dynamical systems , 1980 .

[2]  Yoshiki Kuramoto,et al.  Chemical Oscillations, Waves, and Turbulence , 1984, Springer Series in Synergetics.

[3]  Nikolai F. Rulkov,et al.  Synchronized Action of Synaptically Coupled Chaotic Model Neurons , 1996, Neural Computation.

[4]  G. Bard Ermentrout,et al.  A heuristic description of spiral wave instability in discrete media , 1995 .

[5]  A. Corral,et al.  Stability of spatio-temporal structures in a lattice model of pulse-coupled oscillators , 1996 .

[6]  R. Harris-Warrick,et al.  Dopamine modulation of transient potassium current evokes phase shifts in a central pattern generator network , 1995, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[7]  R. Calabrese,et al.  Heartbeat control in the medicinal leech: a model system for understanding the origin, coordination, and modulation of rhythmic motor patterns. , 1995, Journal of neurobiology.

[8]  T. Sejnowski,et al.  Ionic mechanisms underlying synchronized oscillations and propagating waves in a model of ferret thalamic slices. , 1996, Journal of neurophysiology.

[9]  Paul Manneville,et al.  Long-range order with local chaos in lattices of diffusively coupled ODEs , 1994 .

[10]  J. A. Kuznecov Elements of applied bifurcation theory , 1998 .

[11]  Nancy Kopell,et al.  Waves and synchrony in networks of oscillators of relaxation and non-relaxation type , 1995 .

[12]  Kunihiko Kaneko,et al.  Theory and Applications of Coupled Map Lattices , 1993 .

[13]  K. Kaneko Pattern dynamics in spatiotemporal chaos: Pattern selection, diffusion of defect and pattern competition intermettency , 1989 .

[14]  Allen I. Selverston,et al.  Model Neural Networks and Behavior , 1985, Springer US.

[15]  T. Sejnowski,et al.  Control of Spatiotemporal Coherence of a Thalamic Oscillation by Corticothalamic Feedback , 1996, Science.

[16]  A. Destexhe,et al.  Oscillations, complex spatiotemporal behavior, and information transport in networks of excitatory and inhibitory neurons. , 1994, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[17]  R. Llinás,et al.  Serotonin Modulation of Inferior Olivary Oscillations and Synchronicity: A Multiple‐electrode Study in the Rat Cerebellum , 1995, The European journal of neuroscience.

[18]  Arenas,et al.  Synchronization in a lattice model of pulse-coupled oscillators. , 1995, Physical review letters.

[19]  Fan,et al.  Crisis and topological entropy. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[20]  Xiao-Jing Wang,et al.  Genesis of bursting oscillations in the Hindmarsh-Rose model and homoclinicity to a chaotic saddle , 1993 .

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