Now showing items 1-20 of 21

  • Collective excitability in a mesoscopic neuronal model of epileptic activity 

    Jedynak, Maciej; Pons Rivero, Antonio Javier; García Ojalvo, Jordi (2018-01-12)
    Article
    Open Access
    At the mesoscopic scale, the brain can be understood as a collection of interacting neuronal oscillators, but the extent to which its sustained activity is due to coupling among brain areas is still unclear. Herewe address ...
  • Cómo se fracturan los materiales 

    Pons Rivero, Antonio Javier (2013-01-01)
    Article
    Restricted access - publisher's policy
  • Complex temporal patterns processing by a neural mass model of a cortical column 

    Malagarriga, Daniel; Pons Rivero, Antonio Javier; Villa, Alejandro E. P. (2019-04-06)
    Article
    Restricted access - publisher's policy
    It is well known that neuronal networks are capable of transmitting complex spatiotemporal information in the form of precise sequences of neuronal discharges characterized by recurrent patterns. At the same time, the ...
  • Consistency of heterogeneous synchronization patterns in complex weighted networks 

    Malagarriga Guasch, Daniel; Villa, Alessandro; García Ojalvo, Jordi; Pons Rivero, Antonio Javier (Institute of Physics (IOP), 2017-03-10)
    Article
    Open Access
    Synchronization within the dynamical nodes of a complex network is usually considered homogeneous through all the nodes. Here we show, in contrast, that subsets of interacting oscillators may synchronize in different ways ...
  • Crack front segmentation and facet coarsening in mixed-mode fracture 

    Chen, Chih-Hung; Cambonie, Tristan; Lazarus, Veronique; Nicoli, Matteo; Pons Rivero, Antonio Javier; Karma, Alain (2015-12-30)
    Article
    Open Access
    A planar crack generically segments into an array of “daughter cracks” shaped as tilted facets when loaded with both a tensile stress normal to the crack plane (mode I) and a shear stress parallel to the crack front (mode ...
  • Cracks tamed 

    Pons Rivero, Antonio Javier (2012-05-10)
    Article
    Restricted access - publisher's policy
    Crack propagation in materials is rarely welcome. But carefully engineered cracks produced during the deposition of a film on silicon can be used to efficiently create pre-designed patterns of nanometre-scale channels.
  • Cross-frequency transfer in a stochastically driven mesoscopic neuronal model 

    Jedynak, Maciej; Pons Rivero, Antonio Javier; García Ojalvo, Jordi (2015-02-16)
    Article
    Open Access
    The brain is known to operate in multiple coexisting frequency bands. Increasing experimental evidence suggests that interactions between those distinct bands play a crucial role in brain processes, but the dynamical ...
  • Differentiating resting brain states using ordinal symbolic analysis 

    Quintero Quiroz, Carlos Alberto; Montesano Del Campo, Luis; Pons Rivero, Antonio Javier; Torrent Serra, Maria del Carmen; García Ojalvo, Jordi; Masoller Alonso, Cristina (Institute of Physics (IOP), 2018-10-08)
    Article
    Restricted access - publisher's policy
    Symbolic methods of analysis are valuable tools for investigating complex time-dependent signals. In particular, the ordinal method defines sequences of symbols according to the ordering in which values appear in a time ...
  • Excitation/inhibition patterns in a system of coupled cortical columns 

    Malagarriga Guasch, Daniel; Villa, Alessandro; García Ojalvo, Jordi; Pons Rivero, Antonio Javier (2014)
    Conference report
    Restricted access - publisher's policy
    We study how excitation and inhibition are distributed mesoscopically in small brain regions, by means of a computational model of coupled cortical columns described by neural mass models. Two cortical columns coupled ...
  • Extracranial Estimation of Neural Mass Model Parameters Using the Unscented Kalman Filter 

    Escuain i Poole, Lara Sofia; García Ojalvo, Jordi; Pons Rivero, Antonio Javier (2018-10-15)
    Article
    Open Access
    Data assimilation, defined as the fusion of data with preexisting knowledge, is particularly suited to elucidating underlying phenomena from noisy/insufficient observations. Although this approach has been widely used in ...
  • Helical crack-front instability in mixed-mode fracture 

    Pons Rivero, Antonio Javier; Karma, Alain (2010-03-04)
    Article
    Restricted access - publisher's policy
    [...]We show that the dynamically preferred unstable wavelength is governed by the balance of the destabilizing effect of far-field stresses and the stabilizing effect of cohesive forces on the process zone scale, and we ...
  • Information routing driven by background chatter in a signaling network 

    Domedel Puig, Núria; Rue Queralt, Pau; Pons Rivero, Antonio Javier; García Ojalvo, Jordi (2011-12-08)
    Article
    Open Access
    Living systems are capable of processing multiple sources of information simultaneously. This is true even at the cellular level, where not only coexisting signals stimulate the cell, but also the presence of fluctuating ...
  • Mesoscopic Segregation of Excitation and Inhibition in a Brain Network Model 

    Malagarriga Guasch, Daniel; Villa, Alessandro; García Ojalvo, Jordi; Pons Rivero, Antonio Javier (2015-02-09)
    Article
    Open Access
    Neurons in the brain are known to operate under a careful balance of excitation and inhibition, which maintains neural microcircuits within the proper operational range. How this balance is played out at the mesoscopic ...
  • Modelos físicos de actividad cerebral: de la micro- a la macro-escala 

    Pons Rivero, Antonio Javier; García Ojalvo, Jordi (2012-09-01)
    Article
    Restricted access - publisher's policy
  • Noise-induced up/down dynamics in scale-free neuronal networks 

    Grau Moya, Jordi; Pons Rivero, Antonio Javier; García Ojalvo, Jordi (2012-07-31)
    Article
    Restricted access - publisher's policy
    Cortical neuronal networks are known to exhibit regimes of dynamical activity characterized by periods of elevated firing (up states) separated by silent phases (down states). Here, we show that up/down dynamics may emerge ...
  • Quantifying sudden changes in dynamical systems using symbolic networks 

    Masoller Alonso, Cristina; Hong, Yanhua; Ayad, Sarah; Gustave, Francois; Barland, Stéphane; Pons Rivero, Antonio Javier; Gómez, Sergio; Arenas, Alex (2015-02-24)
    Article
    Open Access
    We characterize the evolution of a dynamical system by combining two well-known complex systems' tools, namely, symbolic ordinal analysis and networks. From the ordinal representation of a time series we construct a network ...
  • Relating structural and functional anomalous connectivity in the aging brain via neural mass modeling 

    Pons Rivero, Antonio Javier; Cantero, Jose Luis; Atienza, Mercedes; García Ojalvo, Jordi (2010-09)
    Article
    Restricted access - publisher's policy
    The structural changes that arise as the brain ages influence its functionality. In many cases, the anatomical degradation simply leads to normal aging. In others, the neurodegeneration is large enough to cause neurological ...
  • Relaxation dynamics and frequency response of a noisy cell signaling network 

    Rue Queralt, Pau; Pons Rivero, Antonio Javier; Domedel Puig, Núria; García Ojalvo, Jordi (2010-12-30)
    Article
    Open Access
    We investigate the dynamics of cell signaling using an experimentally based Boolean model of the human fibroblast signal transduction network. We determine via systematic numerical simulations the relaxation dynamics of ...
  • Stimulus induced resonance in a neural mass model driven with a temporally correlated noise 

    Jedynak, Maciej; Pons Rivero, Antonio Javier; García Ojalvo, Jordi (2015)
    Conference lecture
    Open Access
  • Synchronization-based computation through networks of coupled oscillators 

    Malagarriga Guasch, Daniel; Garcia Vellisca, Mariano A.; Villa, Alessandro; Martín Buldú, Javier; García Ojalvo, Jordi; Pons Rivero, Antonio Javier (2015-08-04)
    Article
    Open Access
    The mesoscopic activity of the brain is strongly dynamical, while at the same time exhibits remarkable computational capabilities. In order to examine how these two features coexist, here we show that the patterns of ...