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Discrimination emerging through spontaneous symmetry breaking in a spatial prisoner's dilemma model with multiple labelsJun 18 2019Social discrimination seems to be a persistent phenomenon in many cultures. It is important to understand the mechanisms that lead people to judge others by the group to which they belong, rather than individual qualities. It was recently shown that evolutionary ... More

State transitions in the Morris-Lecar model under stable Lévy noiseJun 18 2019This paper considers the state transition of the stochastic Morris-Lecar neuronal model driven by symmetric $\alpha$-stable L\'evy noise. The considered system is bistable: a stable fixed point (resting state) and a stable limit cycle (oscillating state), ... More

Multiple learning mechanisms promote cooperation in public goods games with project selectionJun 15 2019How evolution favors cooperation is a fundamental issue in social and economic systems. By incorporating multiple learning mechanisms in project selection into the threshold public goods game, we have investigated the coupling effect of mutation and imitation ... More

Thermal creep emerging from cooling a tilted vortex lattice in uniaxial superconductorJun 14 2019A system perturbed out of equilibrium often relaxes following Arrhenius law, e.g., through thermally activated motion (creep) over local maxima $U_{b}$ in the potential energy landscape. When $U_{b}$ depends on temperature and $T \sim T_{b} \sim U_{b}/k_{\scriptscriptstyle ... More

A universal route to pattern formationJun 13 2019Self-organization, the ability of a system of microscopically interacting entities to shape macroscopically ordered structures, is ubiquitous in Nature. Spatio-temporal patterns are abundantly observed in a large plethora of applications, encompassing ... More

Rate of change of frequency under line contingencies in high voltage electric power networks with uncertaintiesJun 13 2019In modern electric power networks with fast evolving operational conditions, assessing the impact of contingencies is becoming more and more crucial. Contingencies of interest can be roughly classified into nodal power disturbances and line faults. Despite ... More

Self-organized critical balanced networks: a unified frameworkJun 13 2019Asynchronous irregular (AI) and critical states are two competing frameworks proposed to explain spontaneous neuronal activity. Here, we propose a mean-field model with simple stochastic neurons that generalizes the integrate-and-fire network of Brunel ... More

Self-organized avalanches in globally-coupled phase oscillatorsJun 13 2019Spontaneous desynchronization of coupled oscillators occurs in diverse systems spanning from the mammalian brain to alternating current power grids. Here, we model desynchronization using a generalization of the classical Kuramoto model, which includes ... More

Modeling functional resting-state brain networks through neural message passing on the human connectomeJun 12 2019Understanding the relationship between the structure and function of the human brain is one of the most important open questions in Neurosciences. In particular, Resting State Networks (RSN) and more specifically the Default Mode Network (DMN) of the ... More

Control contribution identifies top driver nodes in complex networksJun 11 2019We propose a new measure to quantify the impact of a node $i$ in controlling a directed network. This measure, called `control contribution' $\mathcal{C}_{i}$, combines the probability for node $i$ to appear in a set of driver nodes and the probability ... More

Symmetry Induced Group ConsensusJun 07 2019There has been substantial work studying consensus problems for which there is a single common final state, although there are many real-world complex networks for which the complete consensus may be undesirable. More recently, the concept of group consensus ... More

Synchronization of complex human networksJun 07 2019The synchronization of human networks is essential for our civilization, and understanding the motivations, behavior, and basic parameters that govern the dynamics of human networks is important in many aspects of our lives. Human ensembles have been ... More

A method for the classification of chimera states of coupled oscillators and its application for creating a neural network information converterJun 06 2019The paper presents a new method for the classification of chimera states, which characterizes the synchronization of two coupled oscillators more accurately. As an example of method application, a neural network information converter based on a network ... More

Mutual Information and the Edge of Chaos in Reservoir ComputersJun 06 2019A reservoir computer is a dynamical system that may be used to perform computations. A reservoir computer usually consists of a set of nonlinear nodes coupled together in a network so that there are feedback paths. Training the reservoir computer consists ... More

Onset of synchronization in networks of second-order Kuramoto oscillators with delayed coupling: Exact results and application to phase-locked loopsJun 06 2019We consider the inertial Kuramoto model of $N$ globally coupled oscillators characterized by both their phase and angular velocity, in which there is a time delay in the interaction between the oscillators. Besides the academic interest, we show that ... More

Bifurcation analysis of a TaO memristor modelJun 04 2019This paper presents a study of bifurcation in the time-averaged dynamics of TaO memristors driven by narrow pulses of alternating polarities. The analysis, based on a physics-inspired model, focuses on the stable fixed points and on how these are affected ... More

Partial Phase Cohesiveness in Networks of Kuramoto Oscillator NetworksJun 03 2019Partial, instead of complete, synchronization has been widely observed in various networks including, in particular, brain networks. Motivated by data from human brain functional networks, in this technical note, we analytically show that partial synchronization ... More

Neural networks grown and self-organized by noiseJun 03 2019Living neural networks emerge through a process of growth and self-organization that begins with a single cell and results in a brain, an organized and functional computational device. Artificial neural networks, however, rely on human-designed, hand-programmed ... More

How does active participation effect consensus: Adaptive network model of opinion dynamics and influence maximizing rewiringJun 03 2019In this paper we study the impact of active participation -- or deliberately seeking out other agents with an aim to convince them -- on the dynamics of consensus formation. For this purpose, we propose an adaptive network model in which two processes ... More

State-dependent effects of electrical stimulation on populations of excitatory and inhibitory neuronsJun 03 2019Electrical stimulation of neural populations is a key tool for understanding neural dynamics and developing treatments. To investigate the effects of external stimulation on a basic cortical motif, we analyse the dynamical properties of an efficient mean-field ... More

Bifurcation and CriticalityJun 03 2019Equilibrium and nonequilibrium systems exhibit power-law singularities close to their critical and bifurcation points respectively. A recent study has shown that biochemical nonequilibrium models with positive feedback belong to the universality class ... More

Stability and control of power grids with diluted network topologyMay 31 2019In the present study we consider a random network of Kuramoto oscillators with inertia in order to mimic and investigate the dynamics emerging in high-voltage power grids. The corresponding natural frequencies are assumed to be bimodally Gaussian distributed, ... More

Nonlinear phase coupling functions: a numerical studyMay 31 2019Phase reduction is a general tool widely used to describe forced and interacting self-sustained oscillators. Here we explore the phase coupling functions beyond the usual first-order approximation in the strength of the force. Taking the periodically ... More

Extinction-induced community reorganization in bipartite networksMay 30 2019We study how the community structure of bipartite mutualistic networks changes in a dynamic context. First, we consider a real mutualistic network and introduce extinction events according to several scenarios. We model extinctions as node or interaction ... More

Colored noise in oscillators. Phase-amplitude analysis and a method to avoid the Ito-Stratonovich dilemmaMay 30 2019We investigate the effect of time-correlated noise on the phase fluctuations of nonlinear oscillators. The analysis is based on a methodology that transforms a system subject to colored noise, modeled as an Ornstein-Uhlenbeck process, into an equivalent ... More

Building a Maxey--Riley framework for surface ocean inertial particle dynamicsMay 29 2019Jun 05 2019A Maxey-Riley set for surface ocean inertial (i.e., buoyant, finite-size) particle dynamics is derived by vertically integrating the original Maxey-Riley set, adapted to account for Earth's rotation and sphericity effects, across a sufficiently small ... More

Building a Maxey--Riley framework for surface ocean inertial particle dynamicsMay 29 2019A Maxey-Riley set for surface ocean inertial (i.e., buoyant, finite-size) particle dynamics is derived by vertically integrating the original Maxey-Riley set, adapted to account for Earth's rotation and sphericity effects, across a sufficiently small ... More

Signal selection for estimation and identification in networks of dynamic systems: a graphical model approachMay 28 2019Network systems have become a ubiquitous modeling tool in many areas of science where nodes in a graph represent distributed processes and edges between nodes represent a form of dynamic coupling. When a network topology is already known (or partially ... More

Lane-free Artificial-Fluid Concept for Vehicular TrafficMay 28 2019A novel paradigm for vehicular traffic in the era of connected and automated vehicles (CAVs) is proposed, which includes two combined principles: lane-free traffic and vehicle nudging, whereby vehicles are "pushing" (from a distance, using communication ... More

Power laws in code repositories: A skeptical approachMay 27 2019Software development as done using modern methodologies and source control management systems, has been often established as an example of self-organization, with code growing and evolving organically, through activities that do not stem from entralized ... More

A randomized discretization of the nonlocal diffusion equationMay 26 2019Using our recent results on convergence of interacting dynamical systems on graphs to the continuum limit, we propose a numerical scheme for the initial value problem for a nonlocal diffusion equation. Our method is based on the approximation of the nonlocal ... More

Field-like torque induced synchronized oscillation in spin torque oscillatorsMay 26 2019Synchronization of two spin torque oscillators coupled in parallel through current is investigated by taking into account the influence of field-like torque. It is shown that the presence of such torque can cancel out the effect of damping and thus can ... More

Directional Transport of Propelled Brownian Particles Confined in a Smooth Corrugated Channel with Colored NoiseMay 26 2019The transport phenomenon(directional movement) of self-propelled Brownian particles moving in a smooth corrugated confined channel is investigated. It is found that large $x$ direction noise intensity should reduce particles directional movement when ... More

Markov jump processes and collision-like models in the kinetic description of multi-agent systemsMay 24 2019Multi-agent systems can be successfully described by kinetic models, which allow one to explore the large scale aggregate trends resulting from elementary microscopic interactions. The latter may be formalised as collision-like rules, in the spirit of ... More

Stabilization of direct numerical simulation for finite truncations of circular cumulant expansionsMay 24 2019We study a numerical instability of direct simulations with truncated equation chains for the "circular cumulant" representation and two approaches to its suppression. The approaches are tested for a chimera-bearing hierarchical population of coupled ... More

Control of coherence resonance by self-induced stochastic resonance in a multiplex neural networkMay 23 2019We consider a two-layer multiplex network of diffusively coupled FitzHugh-Nagumo (FHN) neurons in the excitable regime. It is shown, in contrast to SISR in a single isolated FHN neuron, that the maximum noise amplitude at which SISR occurs in the network ... More

Chimera dynamics in nonlocally coupled moving phase oscillatorsMay 22 2019Chimera states, a symmetry-breaking spatiotemporal pattern in nonlocally coupled dynamical units, prevail in a variety of systems. However, the interaction structures among oscillators are static in most of studies on chimera state. In this work, we consider ... More

Spatio-temporal Characterization of Thermal Fluctuations in a Non-turbulent Rayleigh-Bénard Convection at Steady StateMay 21 2019In this paper we present a detailed description of the statistical and computational techniques that were employed to study a driven far-from-equilibrium steady-state Rayleigh-B{\'e}nard system in the non-turbulent regime ($Ra\leq 3500$). In our previous ... More

Bichaoticity Induced by Inherent Birhythmicity during the Oscillatory Electrodissolution of SiliconMay 21 2019The electrodissolution of p-type silicon in a fluoride-containing electrolyte is a prominent electrochemical oscillator with a still unknown oscillation mechanism. In this article, we present a study of its dynamical states occurring in a wide range of ... More

The self-organised, non-equilibrium dynamics of spontaneous cancerous budsMay 20 2019Tissue self-organization into defined and well-controlled three-dimensional structures is essential during development for the generation of organs. A similar, but highly deranged process might also occur during the aberrant growth of cancers, which frequently ... More

Nestedness in complex networks: Observation, emergence, and implicationsMay 18 2019The observed architecture of ecological and socio-economic networks differs significantly from that of random networks. From a network science standpoint, non-random structural patterns observed in real networks call for an explanation of their emergence ... More

When the goal is to generate a series of activities: A self-organized simulated robot armMay 17 2019Behavior is characterized by sequences of goal-oriented conducts, such as food uptake, socializing and resting. Classically, one would define for each task a corresponding satisfaction level, with the agent engaging, at a given time, in the activity having ... More

Embodied robots driven by self-organized environmental feedbackMay 17 2019Which kind of complex behavior may arise from self-organizing principles? We investigate this question for the case of snake-like robots composed of passively coupled segments, with every segment containing two wheels actuated separately by a single neuron. ... More

Emergence of Exploitation as Symmetry Breaking in Iterated Prisoner's DilemmaMay 16 2019In society, mutual cooperation, defection, and asymmetric exploitative relationships are common. Whereas cooperation and defection are studied extensively in the literature on game theory, asymmetric exploitative relationships between players are little ... More

Phase-locked states in oscillating neural networks and their role in neural communicationMay 15 2019The theory of communication through coherence (CTC) proposes that brain oscillations reflect changes in the excitability of neurons, and therefore the successful communication between two oscillating neural populations depends not only on the strength ... More

Semiclassical Phase Reduction Theory for Quantum SynchronizationMay 15 2019We develop a general theoretical framework of semiclassical phase reduction for analyzing synchronization of quantum limit-cycle oscillators. The dynamics of quantum dissipative systems exhibiting limit-cycle oscillations are reduced to a simple, one-dimensional ... More

Coevolutionary dynamics of a variant of the cyclic Lotka-Volterra model with three-agent interactionsMay 14 2019We study a variant of the cyclic Lotka-Volterra model with three-agent interactions. Inspired by a multiplayer variation of the Rock-Paper-Scissors game, the model describes an ideal ecosystem in which cyclic competition among three species develops through ... More

Ott-Antonsen reduction for the non-Abelian Kuramoto model on the 3-sphereMay 14 2019We are interested in low-dimensional dynamics in an ensemble of coupled nonidentical generalized oscillators on the 3-sphere. The system of governing equations for such an ensemble is referred to as non-Abelian Kuramoto model in the literature. We establish ... More

Universal and non-universal neural dynamics on small world connectomes: a finite size scaling analysisMay 13 2019Evidence of critical dynamics has been recently found in both experiments and models of large scale brain dynamics. The understanding of the nature and features of such critical regime is hampered by the relatively small size of the available connectome, ... More

Universal and non-universal neural dynamics on small world connectomes: a finite size scaling analysisMay 13 2019Jun 06 2019Evidence of critical dynamics has been recently found in both experiments and models of large scale brain dynamics. The understanding of the nature and features of such critical regime is hampered by the relatively small size of the available connectome, ... More

Aphids, Ants and Ladybirds: a mathematical model predicting their population dynamicsMay 13 2019The interaction between aphids, ants and ladybirds has been investigated from an ecological point of view since many decades, while there are no attempts to describe it from a mathematical point of view. This paper introduces a new mathematical model ... More

A Coupled Oscillator Model for the Origin of Bimodality and MultimodalityMay 13 2019Perhaps because of the elegance of the central limit theorem, it is often assumed that distributions in nature will approach singly-peaked, unimodal shapes reminiscent of the Gaussian normal distribution. However, many systems behave differently, with ... More

Dynamical strategies for obstacle avoidance during Dictyostelium discoideum aggregation: a Multi-agent system modelMay 13 2019Chemotaxis, the movement of an organism in response to a chemical stimulus, is a typical feature of many microbiological systems. In particular, the social amoeba $\textit{Disctyostelium discoideum}$ is widely used as a model organism, but it is not still ... More

Dynamical strategies for obstacle avoidance during Dictyostelium discoideum aggregation: a Multi-agent system modelMay 13 2019May 14 2019Chemotaxis, the movement of an organism in response to a chemical stimulus, is a typical feature of many microbiological systems. In particular, the social amoeba $\textit{Disctyostelium discoideum}$ is widely used as a model organism, but it is not still ... More

Emergence of an Onion-like Network in Surface Growth and Its Strong RobustnessMay 13 2019We numerically investigate that optimal robust onion-like networks can emerge even with the constraint of surface growth in supposing a spatially embedded transportation or communication system. To be onion-like, moderately long links are necessary in ... More

Non-Monotonic Synchronization Transitions and Quasi-Chimera States in Time-Delayed Oscillator CommunitiesMay 12 2019We study the transitions between macroscopic states in coupled oscillator systems with community structure and time delays. We show that the combination of these two properties gives rise to non-monotonic transitions, whereby increasing the global coupling ... More

A study on dynamical complexity of noise induced blood flowMay 11 2019In this article, the dynamics and complexity of a noise induced blood flow system have been investigated. Changes in the dynamics have been recognized by measuring the periodicity over significant parameters. Chaotic as well as non-chaotic regimes have ... More

Emergence of Subcritical Bifurcations in a System of Randomly Coupled Supercritical Andronov-Hopf Oscillators: A Potential Mechanism for Neural Network Type SwitchingMay 10 2019Cortical systems such as the visual cortex exhibit behaviors that change according to behavioral and stimulus context. It is still unknown what mechanisms underlie this adaptive processing in cortical circuitry. In this paper, we present a model of randomly ... More

Coupled Oscillators as a model of Olfactory Network. Importance in Pattern Recognition and Classification tasksMay 09 2019The olfactory system is constantly solving pattern-recognition problems by the creation of a large space to codify odour representations and optimizing their distribution within it. A model of the Olfactory Bulb was developed by Z. Li and J. J. Hopfield ... More

Global Robustness vs. Local Vulnerabilities in Complex Synchronous NetworksMay 09 2019In complex network-coupled dynamical systems, two questions of central importance are how to identify the most vulnerable components and how to devise a network making the overall system more robust to external perturbations. To address these two questions, ... More

Structure preserving schemes for nonlinear Fokker-Planck equations with anisotropic diffusionMay 08 2019In this work we propose novel numerical schemes for nonlinear Fokker-Planck-type equations with anisotropic diffusion matrix that preserve fundamental structural properties like non negativity of the solution, entropy dissipation and which guarantees ... More

Chaos in networks of coupled oscillators with multimodal natural frequency distributionsMay 08 2019We explore chaos in the Kuramoto model with multimodal distributions of the natural frequencies of oscillators and provide a comprehensive description under what conditions chaos occurs. For a natural frequency distribution with $M$ peaks it is typical ... More

Performance boost of time-delay reservoir computing by non-resonant clock cycleMay 07 2019The time-delay-based reservoir computing setup has seen tremendous success in both experiment and simulation. It allows for the construction of large neuromorphic computing systems with only few components. However, until now the interplay of the different ... More

Phase oscillator model for noisy oscillatorsMay 07 2019The Kuramoto model has become a paradigm to describe the dynamics of nonlinear oscillator under the influence of external perturbations, both deterministic and stochastic. It is based on the idea to describe the oscillator dynamics by a scalar differential ... More

A mathematical framework for amplitude and phase noise analysis of coupled oscillatorsMay 07 2019Synchronization of coupled oscillators is a paradigm for complexity in many areas of science and engineering. Any realistic network model should include noise effects. We present a description in terms of phase and amplitude deviation for nonlinear oscillators ... More

On the onset of synchronization of Kuramoto oscillators in scale-free networksMay 06 2019Despite the great attention devoted to the study of phase oscillators on complex networks in the last two decades, it remains unclear whether scale-free networks exhibit a nonzero critical coupling strength for the onset of synchronization in the thermodynamic ... More

An exact firing rate model reveals the differential effects of chemical versus electrical synapses in spiking networksMay 06 2019Chemical and electrical synapses shape the dynamics of neuronal networks. Numerous theoretical studies have investigated how each of these types of synapses contributes to the generation of neuronal oscillations, but their combined effect is less understood. ... More

Model reconstruction from temporal data for coupled oscillator networksMay 04 2019In a complex system, the interactions between individual agents often lead to emergent collective behavior like spontaneous synchronization, swarming, and pattern formation. The topology of the network of interactions can have a dramatic influence over ... More

Noise-induced synchronization and anti-resonance in excitable systems; Implications for information processing in Parkinson's Disease and Deep Brain StimulationMay 03 2019We study the statistical physics of a surprising phenomenon arising in large networks of excitable elements in response to noise: while at low noise, solutions remain in the vicinity of the resting state and large-noise solutions show asynchronous activity, ... More

Noise-induced synchronization and anti-resonance in excitable systems; Implications for information processing in Parkinson's Disease and Deep Brain StimulationMay 03 2019May 24 2019We study the statistical physics of a surprising phenomenon arising in large networks of excitable elements in response to noise: while at low noise, solutions remain in the vicinity of the resting state and large-noise solutions show asynchronous activity, ... More

Optimal interplay between synaptic strengths and network structure enhances activity fluctuations and information propagation in hierarchical modular networksMay 03 2019May 06 2019In network models of spiking neurons, the coupled impact of network structure and synaptic parameters on activity propagation is still an open problem. For spiking networks with hierarchical modular topology, we show that slow spike-train fluctuations ... More

Modeling the ASF (African Swine Fever) spread till summer 2017 and risk assessment for PolandMay 02 2019African Swine Fever (ASF) is viral infection which causes acute disease in domestic pigs and wild boar. Although the virus does not cause disease in humans, the impact it has on the economy, especially through trade and farming, is substantial. Recent ... More

The derivative of the Kardar-Parisi-Zhang equation is not in the KPZ universality classApr 30 2019The Kardar-Parisi-Zhang (KPZ) equation is a paradigmatic model of nonequilibrium low-dimensional systems with spatiotemporal scale invariance, recently highlighting universal behavior in fluctuation statistics. Its space derivative, namely the noisy Burgers ... More

The derivative of the Kardar-Parisi-Zhang equation is not in the KPZ universality classApr 30 2019May 03 2019The Kardar-Parisi-Zhang (KPZ) equation is a paradigmatic model of nonequilibrium low-dimensional systems with spatiotemporal scale invariance, recently highlighting universal behavior in fluctuation statistics. Its space derivative, namely the noisy Burgers ... More

Evolution of Systems with Power-Law Memory: Do We Have to Die?Apr 30 2019Various features of the development of individual living species, including individual humans, are programmed. Is death also programmed, and if yes, how is it implemented and what can be the underlying mechanism providing the inevitability of death? The ... More

Evolution of Systems with Power-Law Memory: Do We Have to Die?Apr 30 2019May 22 2019Various features of the development of individual living species, including individual humans, are programmed. Is death also programmed, and if yes, how is it implemented and what can be the underlying mechanism providing the inevitability of death? The ... More

Signal and noise in regime systems: a hypothesis on the predictability of the North Atlantic OscillationApr 30 2019Studies conducted by the UK Met Office reported significant skill at predicting the winter NAO index with their seasonal prediction system. At the same time, a very low signal-to-noise ratio was observed, as measured using the `ratio of predictable components' ... More

Thermal Dendrites on the Surface of Water and Water SolutionApr 29 2019Thermal dendrites (fractal-like structures) on the surface of water and some water solutions are found with an infrared camera. They are observed with specific sizes and temperature differences in the liquid and are not associated with the movement of ... More

Wavelet based detection of scaling behaviour in noisy experimental dataApr 27 2019The detection of power-laws in real data is a demanding task for several reasons. The two, more frequently met, being: (i) real data possess noise which affects significantly the power-law tails and (ii) there is no solid tool for the discrimination between ... More

Network desynchronization by non-Gaussian fluctuationsApr 27 2019Many networks must maintain synchrony despite the fact that they operate in noisy environments. Important examples are electric-power networks, where a rapidly increasing amount of power is supplied by renewable sources, which are known to exhibit fluctuations ... More

Directed Flow of Information in Chimera StatesApr 25 2019We investigated interactions within chimera states in a phase oscillator network with two coupled subpopulations. To quantify interactions within and between these subpopulations, we estimated the corresponding (delayed) mutual information that -- in ... More

Applying machine learning to improve simulations of a chaotic dynamical system using empirical error correctionApr 24 2019Dynamical weather and climate prediction models underpin many studies of the Earth system and hold the promise of being able to make robust projections of future climate change based on physical laws. However, simulations from these models still show ... More

Explosive death in nonlinear oscillators coupled by quorum sensingApr 24 2019Many biological and chemical systems exhibit collective behavior in response to the change in their population density. These elements or cells communicate with each other via dynamical agents or signaling molecules. In this work, we explore the dynamics ... More

Real-time vulnerability of synchronized statesApr 22 2019The time-dependent vulnerability of synchronized states is shown for a complex network composed of electronic circuits. We demonstrate that disturbances to the local dynamics of network units can produce different outcomes to synchronization depending ... More

Modelling Hierarchical FlockingApr 21 2019We present a general framework for modeling a wide selection of flocking scenarios under free boundary conditions. Several variants have been considered - including examples for the widely observed behavior of hierarchically interacting units. The models ... More

Detecting regime transitions in time series using dynamic mode decompositionApr 19 2019We employ the framework of the Koopman operator and dynamic mode decomposition to devise a method to detect transient dynamics and regime changes in time series. We argue that typically transient dynamics experiences the full phase space dimension with ... More

Spike-burst chimera states in an adaptive exponential integrate-and-fire neuronal networkApr 17 2019Chimera states are spatiotemporal patterns in which coherence and incoherence coexist. We observe the coexistence of synchronous (coherent) and desynchronous (incoherent) domains in a neuronal network. The network is composed of coupled adaptive exponential ... More

Traveling band formation in feedback-driven colloidsApr 17 2019Using simulation and theory we study the dynamics of a colloidal suspension in two dimensions subject to a time-delayed repulsive feedback that depends on the positions of the colloidal particles. The colloidal particles experience an additional potential ... More

Multiple-interaction kinetic modelling of a virtual-item gambling economyApr 16 2019In recent years, there has been a proliferation of online gambling sites, which made gambling more accessible with a consequent rise in related problems, such as addiction. Hence, the analysis of the gambling behaviour at both the individual and the aggregate ... More

A Multi-agent approach for $\textit{in silico}$ simulations of micro-biological systemsApr 16 2019Using a Multi-agent systems paradigm, the present project develops, validates and exploits a computational $\textit{testbed}$ that simulates micro-biological complex systems, namely the aggregation patterns of the social amoeba $\textit{Dyctiostelium ... More

Asymmetric balance in symmetry breakingApr 15 2019Spontaneous symmetry breaking is central to our understanding of physics and explains many natural phenomena, from cosmic scales to sub-atomic particles. It can also be exploited for applications, but engineered systems naturally present some deviations ... More

Self-similar hierarchical frequency clusters in adaptive networks of phase oscillatorsApr 15 2019Adaptive dynamical networks appear in various real-word systems. One of the simplest phenomenological models for investigating basic properties of adaptive networks is the system of coupled phase oscillators with adaptive couplings. In this paper, we ... More

Bicycle flow dynamics on wide roads: Experiment and modelingApr 12 2019Cycling is a green transportation mode, and is promoted by many governments to mitigate traffic congestion. However, studies concerning the traffic dynamics of bicycle flow are very limited. This study experimentally investigated bicycle flow dynamics ... More

Effects of vorticity on the travelling waves of some shallow water two-component systemsApr 12 2019In the present study we consider three two-component (integrable and non-integrable) systems which describe the propagation of shallow water waves on a constant shear current. Namely, we consider the two-component Camassa-Holm equations, the Zakharov-Ito ... More

Partial synchronization in empirical brain networks as a model for unihemispheric sleepApr 11 2019We analyze partial synchronization patterns in a network of FitzHugh-Nagumo oscillators with empirical structural connectivity measured in healthy human subjects. We report a dynamical asymmetry between the hemispheres, induced by the natural structural ... More

Fast multipole networksApr 09 2019Two fundamental prerequisites for robotic multiagent systems are mobility and communication. We propose \emph{fast multipole networks} (FMNs) to achieve both ends within a unified framework. FMNs can be organized very efficiently in a distributed way ... More

Single-species fragmentation: the role of density-dependent feedbacksApr 08 2019Internal feedbacks are commonly present in biological populations and can play a crucial role in the emergence of collective behavior. We consider a generalization of Fisher-KPP equation to describe the temporal evolution of the distribution of a single-species ... More

Inferring the dynamics of oscillatory systems using recurrent neural networksApr 04 2019We investigate the predictive power of recurrent neural networks for oscillatory systems not only on the attractor, but in its vicinity as well. For this we consider systems perturbed by an external force. This allows us to not merely predict the time ... More

Optimal global synchronization of partially forced Kuramoto oscillatorsApr 03 2019We consider the problem of global synchronization in a large random network of Kuramoto oscillators where some of them are subject to an external periodically driven force. We explore a recently proposed dimensional reduction approach and introduce an ... More

Graph clustering in industrial networksApr 03 2019The present work investigates clustering of a graph-based representation of industrial connections derived from international trade data by Hidalgo et al (2007) and confirms existence of around ten industrial clusters that are reasonably consistent with ... More