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Related papers: Collective chaos in pulse-coupled neural networks

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We investigate the onset of collective oscillations in a network of pulse-coupled leaky-integrate-and-fire neurons in the presence of quenched and annealed disorder. We find that the disorder induces a weak form of chaos that is analogous…

Disordered Systems and Neural Networks · Physics 2012-01-18 Simona Olmi , Roberto Livi , Antonio Politi , Alessandro Torcini

We analyse the possible dynamical states emerging for two symmetrically pulse coupled populations of leaky integrate-and-fire neurons. In particular, we observe broken symmetry states in this set-up: namely, breathing chimeras, where one…

Disordered Systems and Neural Networks · Physics 2017-03-14 Simona Olmi , Alessandro Torcini

The dynamical behaviour of a weakly diluted fully-inhibitory network of pulse-coupled spiking neurons is investigated. Upon increasing the coupling strength, a transition from regular to stochastic-like regime is observed. In the…

Disordered Systems and Neural Networks · Physics 2007-05-23 R. Zillmer , R. Livi , A. Politi , A. Torcini

Nontrivial collective behavior may emerge from the interactive dynamics of many oscillatory units. Chimera states are chaotic patterns of spatially localized coherent and incoherent oscillations. The recently-introduced notion of a weak…

Dynamical Systems · Mathematics 2016-10-10 Christian Bick , Peter Ashwin

We introduce a model of randomly connected neural populations and study its dynamics by means of the dynamical mean-field theory and simulations. Our analysis uncovers a rich phase diagram, featuring high- and low-dimensional chaotic…

Biological Physics · Physics 2025-05-01 Łukasz Kuśmierz , Ulises Pereira-Obilinovic , Zhixin Lu , Dana Mastrovito , Stefan Mihalas

We analyze the dynamics of two coupled identical populations of quadratic integrate-and-fire neurons, which represent the canonical model for class I neurons near the spiking threshold. The populations are heterogeneous; they include both…

Pattern Formation and Solitons · Physics 2017-10-25 Irmantas Ratas , Kestutis Pyragas

Collective chaos is shown to emerge, via a period-doubling cascade, from quasiperiodic partial synchronization in a population of identical inhibitory neurons with delayed global coupling. This system is thoroughly investigated by means of…

Chaotic Dynamics · Physics 2016-06-09 Diego Pazó , Ernest Montbrió

The idealisation of neuronal pulses as $\delta$-spikes is a convenient approach in neuroscience but can sometimes lead to erroneous conclusions. We investigate the effect of a finite pulse-width on the dynamics of balanced neuronal…

Neurons and Cognition · Quantitative Biology 2024-06-19 Afifurrahman , Ekkehard Ullner , Antonio Politi

Two symmetrically coupled populations of N oscillators with inertia $m$ display chaotic solutions with broken symmetry similar to experimental observations with mechanical pendula. In particular, we report the first evidence of intermittent…

Chaotic Dynamics · Physics 2015-09-14 Simona Olmi , Erik A. Martens , Shashi Thutupalli , Alessandro Torcini

Ensembles of phase-oscillators are known to exhibit a variety of collective regimes. Here, we show that a simple mean-field model involving two heterogenous populations of pulse-coupled oscillators, exhibits, in the strong-coupling limit, a…

Disordered Systems and Neural Networks · Physics 2024-07-12 German Mato , Antonio Politi , Alessandro Torcini

We characterize the macroscopic attractor of infinite populations of noisy maps subjected to global and strong coupling by using an expansion in order parameters. We show that for any noise amplitude there exists a large region of strong…

Chaotic Dynamics · Physics 2017-03-08 S. De Monte , F. d'Ovidio , E. Mosekilde , H. Chate'

Networks of chaotic units with static couplings can synchronize to a common chaotic trajectory. The effect of dynamic adaptive couplings on the cooperative behavior of chaotic networks is investigated. The couplings adjust to the activities…

Chaotic Dynamics · Physics 2013-04-12 Marco Winkler , Sebastian Butsch , Wolfgang Kinzel

We disclose a new class of patterns, called patched patterns, in arrays of non-locally coupled excitable units with attractive and repulsive interactions. Self-organization process involves formation of two types of patches, majority and…

Pattern Formation and Solitons · Physics 2022-09-28 Igor Franović , Sebastian Eydam

We study chaotic behavior of order parameters in two coupled ensembles of self-sustained oscillators. Coupling within each of these ensembles is switched on and off alternately, while the mutual interaction between these two subsystems is…

Chaotic Dynamics · Physics 2015-05-20 Sergey P. Kuznetsov , Arkady Pikovsky , Michael Rosenblum

An algorithm to characterize collective motion is presented, with the introduction of ``collective Lyapunov exponent'', as the orbital instability at a macroscopic level. By applying the algorithm to a globally coupled map, existence of…

chao-dyn · Physics 2009-10-31 Tatsuo Shibata , Kunihiko Kaneko

We show, using generic globally-coupled systems, that the collective dynamics of large chaotic systems is encoded in their Lyapunov spectra: most modes are typically localized on a few degrees of freedom, but some are delocalized, acting…

Chaotic Dynamics · Physics 2009-10-11 Kazumasa A. Takeuchi , Francesco Ginelli , Hugues Chaté

A collective chaotic phase with power law scaling of activity events is observed in a disordered mean field network of purely excitatory leaky integrate-and-fire neurons with short-term synaptic plasticity. The dynamical phase diagram…

Disordered Systems and Neural Networks · Physics 2017-03-20 Fabrizio Pittorino , Miguel Ibáñez-Berganza , Matteo di Volo , Alessandro Vezzani , Raffaella Burioni

Dynamics of coupled chaotic oscillators on a network are studied using coupled maps. Within a broad range of parameter values representing the coupling strength or the degree of elements, the system repeats formation and split of coherent…

Chaotic Dynamics · Physics 2016-12-21 Kenji Shinoda , Kunihiko Kaneko

We study chaotic synchronization in networks with time-delayed coupling. We introduce the notion of strong and weak chaos, distinguished by the scaling properties of the maximum Lyapunov exponent within the synchronization manifold for…

We study the dynamical stability of pulse coupled networks of leaky integrate-and-fire neurons against infinitesimal and finite perturbations. In particular, we compare current versus fluctuations driven networks, the former (latter) is…

Disordered Systems and Neural Networks · Physics 2015-06-18 David Angulo-Garcia , Alessandro Torcini
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