Institut de Recerca en Sistemes Complexos (UBICS): Envíos recientes
Mostrando ítems 41-60 de 118
Alignment interactions drive structural transitions in biological tissues
Experimental evidence shows that there is a feedback between cell shape and cell motion. How this feedback impacts the collective behavior of dense cell monolayers remains an open question. We investigate the effect of a ...
Impact of Physical Obstacles on the Structural and Effective Connectivity of in silico Neuronal Circuits
Scaffolds and patterned substrates are among the most successful strategies to dictate the connectivity between neurons in culture. Here, we used numerical simulations to investigate the capacity of physical obstacles ...
Stationary patterns in star networks of bistable units: theory and application to chemical reactions
We present theoretical and experimental studies on pattern formation with bistable dynamical units coupled in a star network configuration. By applying a localized perturbation to the central or the peripheral elements, ...
Arrested phase separation in chiral fluids of colloidal spinners
We investigate phase separation in a chiral fluid, made of spinning ferromagnetic colloids that interact both via hydrodynamic and dipolar forces and collectively organize into separated circulating clusters. We show that, ...
Bidirectional zigzag growth from clusters of active colloidal shakers
Driven or self-propelling particles moving in viscoelastic fluids recently emerged as a novel class of active systems showing a complex yet rich set of phenomena due to the non-Newtonian nature of the dispersing medium. ...
Active nematic flows confined in a two dimensional channel with hybrid alignment at the walls: A unified picture
Active nematic fluids confined in narrow channels are known to generate spontaneous flows when the activity is sufficiently intense. Recently, it was demonstrated [R. Green, J. Toner, and V. Vitelli, Phys. Rev. Fluids 2, ...
Active and reactive behaviour in human mobility: the influence of attraction points on pedestrians
Human mobility is becoming an accessible field of study, thanks to the progress and availability of tracking technologies as a common feature of smart phones. We describe an example of a scalable experiment exploiting these ...
Collective durotaxis of cohesive cell clusters on a stiffness gradient
Many types of motile cells perform durotaxis, namely, directed migration following gradients of substrate stiffness. Recent experiments have revealed that cell monolayers can migrate toward stiffer regions even when ...
Thermally active nanoparticle clusters enslaved by engineered domain wall traps
The stable assembly of fluctuating nanoparticle clusters on a surface represents a technological challenge of widespread interest for both fundamental and applied research. Here we demonstrate a technique to stably confine ...
Correction to: Citizen science for social physics: digital tools and participation (The European Physical Journal Plus, (2024), 139, 7, (572), 10.1140/epjp/s13360-024-05336-3)
Social physics is an active and diverse field in which many scientists with formal training in physics study a broad class of complex social phenomena. Social physics investigates societal problems but most often does not ...
Nanoparticle anisotropy induces sphere-to-cylinder phase transition in block copolymer melts
Block copolymer nanocomposites including anisotropic nanoparticles have been previously found to co-assemble into complex structures with nanoparticle alignment. Anisotropic nanoparticles with large aspect ratios are found ...
Integrated information decomposition unveils major structural traits of in silico and in vitro neuronal networks
The properties of complex networked systems arise from the interplay between the dynamics of their elements and the underlying topology. Thus, to understand their behavior, it is crucial to convene as much information ...
A complex network framework to model cognition: unveiling correlation structures from connectivity
Several approaches to cognition and intelligence research rely on statistics-based model testing, namely, factor analysis. In the present work, we exploit the emerging dynamical system perspective putting the focus on the ...
Emergent colloidal currents across ordered and disordered landscapes
Many-particle effects in driven systems far from equilibrium lead to a rich variety of emergent phenomena. Their classification and understanding often require suitable model systems. Here we show that microscopic magnetic ...
Network Geometry
Networks are finite metric spaces, with distances defined by the shortest paths between nodes. However, this is not the only form of network geometry: two others are the geometry of latent spaces underlying many networks ...
Vocal learning: beyond the continuum
Vocal learning is the ability to modify vocal output on the basis of experience. Traditionally, species have been classified as either displaying or lacking this ability. A recent proposal, the vocal learning continuum, ...
The heritability of vocal tract structures estimated from structural MRI in a large cohort of Dutch twins
[eng] While language is expressed in multiple modalities, including sign, writing, or whistles, speech is arguably the most common. The human vocal tract is capable of producing the bewildering diversity of the 7000 or so ...
Language evolution and complexity considerations: The no half-Merge fallacy
Recently, prominent theoretical linguists have argued for an explicit scenario for the evolution of the human language capacity on the basis of its computational properties. Concretely, the simplicity of a minimalist ...
Modular architecture facilitates noise-driven control of synchrony in neuronal networks
High-level information processing in the mammalian cortex requires both egregated processing in specialized circuits and integration across multiple circuits. One possible way to implement these seemingly opposing demands ...
Preparation and Mechano-Functional Characterization of PEGylated Fibrin Hydrogels: Impact of Thrombin Concentration
Three-dimensional (3D) neuronal cultures grown in hydrogels are promising platforms to design brain-like neuronal networks in vitro. However, the optimal properties of such cultures must be tuned to ensure a hydrogel matrix ...
