Ara es mostren els items 14-23 de 23

    • 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
      Accés obert
      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
      Accés restringit per política de l'editorial
    • Noise-induced up/down dynamics in scale-free neuronal networks 

      Grau Moya, Jordi; Pons Rivero, Antonio Javier; García Ojalvo, Jordi (2012-07-31)
      Article
      Accés obert
      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 ...
    • Parameter and coupling estimation in small networks of Izhikevich's neurons 

      Aristides, Raul de Palma; Pons Rivero, Antonio Javier; Cerdeira, Hilda; Masoller Alonso, Cristina; Tirabassi, Giulio (2023-04-12)
      Article
      Accés obert
      Nowadays, experimental techniques allow scientists to have access to large amounts of data. In order to obtain reliable information from the complex systems that produce these data, appropriate analysis tools are needed. ...
    • 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
      Accés obert
      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
      Accés restringit per política de l'editorial
      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
      Accés obert
      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)
      Comunicació de congrés
      Accés obert
    • 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
      Accés obert
      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 ...
    • Temporally correlated fluctuations drive epileptiform dynamics 

      Jedynak, Maciej; Pons Rivero, Antonio Javier; García Ojalvo, Jordi; Goodfellow, Marc (2017-02-01)
      Article
      Accés obert
      Macroscopic models of brain networks typically incorporate assumptions regarding the characteristics of afferent noise, which is used to represent input from distal brain regions or ongoing fluctuations in non-modelled ...