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We investigate the transition to synchronization in a two-layer network with time-switching inter-layer links. We focus on the role of the number of inter-layer links and the time-scale of topological changes. Initially, we observe a smooth…

Adaptation and Self-Organizing Systems · Physics 2021-11-03 Muhittin Cenk Eser , Everton S. Medeiros , Mustafa Riza , Anna Zakharova

It is well-known that in two dimensions Turing systems produce spots, stripes and labyrinthine patterns, and in three dimensions lamellar and spherical structures or their combinations are observed. We study transitions between these states…

Statistical Mechanics · Physics 2007-05-23 Teemu Leppanen , Mikko Karttunen , R. A. Barrio , Kimmo Kaski

We study the presence in the Lozi map of a type of abrupt order-to-order and order-to-chaos transitions which are mediated by an attractor made of a continuum of neutrally stable limit cycles, all with the same period.

Chaotic Dynamics · Physics 2015-03-18 V. Botella-Soler , J. M. Castelo , J. A. Oteo , J. Ros

Slow adaption processes, like synaptic and intrinsic plasticity, abound in the brain and shape the landscape for the neural dynamics occurring on substantially faster timescales. At any given time the network is characterized by a set of…

Neurons and Cognition · Quantitative Biology 2015-02-13 Claudius Gros , Mathias Linkerhand , Valentin Walther

Cyclic predator-prey models with four or six species are studied on a square lattice when the invasion rates are varied. It is found that the cyclic invasions maintain a self-organizing pattern as long as the deviation of the invasion…

Populations and Evolution · Quantitative Biology 2008-01-21 Gyorgy Szabo , Attila Szolnoki

We consider random networks whose dynamics is described by a rate equation, with transition rates $w_{nm}$ that form a symmetric matrix. The long time evolution of the system is characterized by a diffusion coefficient $D$. In one dimension…

Statistical Mechanics · Physics 2012-12-04 Yaron de Leeuw , Doron Cohen

We explore how different types and uses of memory can aid spatial navigation in changing uncertain environments. In the simple foraging task we study, every day, our agent has to find its way from its home, through barriers, to food.…

Artificial Intelligence · Computer Science 2026-02-18 Omid Madani , J. Brian Burns , Reza Eghbali , Thomas L. Dean

We show that atoms or molecules subject to fields that couple their internal and translational (momentum) states may undergo a crossover from randomization (diffusion) to strong localization (sharpening) of their momentum distribution. The…

Soft Condensed Matter · Physics 2013-05-29 Nir Bar-Gill , Gershon Kurizki

We introduce a condition for an ensemble of networked phase oscillators to feature an abrupt, first-order phase transition from an unsynchronized to a synchronized state. This condition is met in a very wide spectrum of situations, and for…

Disordered Systems and Neural Networks · Physics 2014-02-14 I. Leyva , I. Sendiña-Nadal , J. Almendral , A. Navas , M. Zanin , D. Papo , J. M. Buldú , S. Boccaletti

We present an extensive, systematic study of the Prisoner's Dilemma and Snowdrift games on a square lattice under a synchronous, noiseless imitation dynamics. We show that for both the occupancy of the network and the (random) mobility of…

Populations and Evolution · Quantitative Biology 2015-11-25 Mendeli H. Vainstein , Jeferson J. Arenzon

Intermittent strange nonchaotic attractors (SNAs) appear typically in quasiperiodically forced period-doubling systems. As a representative model, we consider the quasiperiodically forced logistic map and investigate the mechanism for the…

Chaotic Dynamics · Physics 2009-11-07 Sang-Yoon Kim , Woochang Lim , Edward Ott

We study numerically interaction of spatially localized modes in strongly scattering two-dimensional media. We move eigenvalues in the complex plane by changing gradually the index of a single scatterer. When spatial and spectral overlap is…

Optics · Physics 2016-11-30 Laurent Labonté , Christian Vanneste , Patrick Sebbah

We study the stationary states of variants of the noisy voter model, subject to fluctuating parameters or external environments. Specifically, we consider scenarios in which the herding-to-noise ratio switches randomly and on different time…

Physics and Society · Physics 2023-06-01 Annalisa Caligiuri , Tobias Galla

While different neural models often exhibit latent spaces that are alike when exposed to semantically related data, this intrinsic similarity is not always immediately discernible. Towards a better understanding of this phenomenon, our work…

Machine Learning · Computer Science 2024-02-13 Valentino Maiorca , Luca Moschella , Antonio Norelli , Marco Fumero , Francesco Locatello , Emanuele Rodolà

We study random walk on complex networks with transition probabilities which depend on the current and previously visited nodes. By using an absorbing Markov chain we derive an exact expression for the mean first passage time between pairs…

Physics and Society · Physics 2024-11-14 Lasko Basnarkov , Miroslav Mirchev , Ljupco Kocarev

The spread in time of a mutation through a population is studied analytically and computationally in fully-connected networks and on spatial lattices. The time, t_*, for a favourable mutation to dominate scales with population size N as…

Populations and Evolution · Quantitative Biology 2007-05-23 C. J. Paley , S. N. Taraskin , S. R. Elliott

We introduce Tilt Map, a novel interaction technique for intuitively transitioning between 2D and 3D map visualisations in immersive environments. Our focus is visualising data associated with areal features on maps, for example, population…

Human-Computer Interaction · Computer Science 2020-06-26 Yalong Yang , Tim Dwyer , Kim Marriott , Bernhard Jenny , Sarah Goodwin

Noise-induced statistical periodicity in a class of one-dimensional maps is studied. We show the existence of statistical periodicity in a modified Lasota-Mackey map and describe the phenomenon in terms of almost cyclic sets. A transition…

Chaotic Dynamics · Physics 2019-05-09 Yuzuru Sato , Kathrin Padberg-Gehle

Stickiness is a well known phenomenon in which chaotic orbits expend an expressive amount of time in specific regions of the chaotic sea. This phenomenon becomes important when dealing with area-preserving open systems because, in this…

Chaotic Dynamics · Physics 2021-01-12 Vitor M. de Oliveira , David Ciro , Iberê L. Caldas

We investigate transition rates between different spin configurations for $S \ge 1$ spins weakly coupled to a $d$-dimensional phonon bath. This study is motivated by understanding observed magnetization relaxation as a function of…

Materials Science · Physics 2009-11-13 Kyungwha Park