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    Cross-frequency transfer in a stochastically driven mesoscopic neuronal model  Open access

     Jedynak, Maciej; Pons Rivero, Antonio Javier; Garcia Ojalvo, Jorge
    Frontiers in computational neuroscience
    Vol. 9, p. 1-12
    DOI: 10.3389/fncom.2015.00014
    Date of publication: 2015-02-16
    Journal article

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    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 mechanisms underlying this cross-frequency coupling are still under investigation. Two approaches have been proposed to address this issue. In the first one distinct nonlinear oscillators representing the brain rhythms involved are coupled actively (bidirectionally), whereas in the second one the oscillators are coupled unidirectionally and thus the driving between them is passive. Here we elaborate the latter approach by implementing a stochastically driven network of coupled neural mass models that operate in the alpha range. This model exhibits a broadband power spectrum with 1/fb form, similar to those observed experimentally. Our results show that such a model is able to reproduce recent experimental observations on the effect of slow rocking on the alpha activity associated with sleep. This suggests that passive driving can account for cross-frequency transfer in the brain, as a result of the complex nonlinear dynamics of its underlying oscillators.

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    Mesoscopic segregation of excitation and inhibition in a brain network model  Open access

     Malagarriga Guasch, Daniel; Villa, Alessandro; Garcia Ojalvo, Jorge; Pons Rivero, Antonio Javier
    PLOS computational biology
    Vol. 11, p. 1-21
    DOI: 10.1371/journal.pcbi.1004007
    Date of publication: 2015-02-09
    Journal article

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    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 bal- ance is played out at the mesoscopic level of neuronal populations is, however, less clear. In order to address this issue, here we use a coupled neural mass model to study computationally the dynamics of a network of cortical macrocolumns operating in a partially synchro- nized, irregular regime. The topology of the network is heterogeneous, with a few of the nodes acting as connector hubs while the rest are relatively poorly connected. Our results show that in this type of mesoscopic network excitation and inhibition spontaneously segre- gate, with some columns actingmainly in an excitatory manner while some others have pre- dominantly an inhibitory effect on their neighbors.We characterize the conditions under which this segregation arises, and relate the character of the different columns with their to- pological role within the network. In particular, we show that the connector hubs are prefer- entially inhibitory, the more so the larger the node's connectivity. These results suggest a potential mesoscale organization of the excitation-inhibition balance in brain networks.

    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 level of neuronal populations is, however, less clear. In order to address this issue, here we use a coupled neural mass model to study computationally the dynamics of a network of cortical macrocolumns operating in a partially synchronized, irregular regime. The topology of the network is heterogeneous, with a few of the nodes acting as connector hubs while the rest are relatively poorly connected. Our results show that in this type of mesoscopic network excitation and inhibition spontaneously segregate, with some columns actingmainly in an excitatory manner while some others have predominantly an inhibitory effect on their neighbors.We characterize the conditions under which this segregation arises, and relate the character of the different columns with their to- pological role within the network. In particular, we show that the connector hubs are preferentially inhibitory, the more so the larger the node's connectivity. These results suggest a potential mesoscale organization of the excitation-inhibition balance in brain networks.

  • Probing scale interaction in brain dynamics through synchronization

     Barardi, Alessandro; Malagarriga Guasch, Daniel; De Sancristobal Alonso, Belen; Garcia Ojalvo, Jorge; Pons Rivero, Antonio Javier
    Philosophical transactions of the Royal Society B. Biological sciences
    Vol. 369, num. 1653
    DOI: 10.1098/rstb.2013.0533
    Date of publication: 2014-09-01
    Journal article

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    The mammalian brain operates in multiple spatial scales simultaneously, ranging fromthe microscopic scale of single neurons through the mesoscopic scale of cortical columns, to the macroscopic scale of brain areas. These levels of description are associated with distinct temporal scales, ranging from milliseconds in the case of neurons to tens of seconds in the case of brain areas. Here, we examine theoretically how these spatial and temporal scales interact in the functioning brain, by considering the coupled behaviour of two mesoscopic neural masses (NMs) that communicate with each other through a microscopic neuronal network (NN). We use the synchronization between the two NM models as a tool to probe the interaction between the mesoscopic scales of those neural populations and the microscopic scale of the mediating NN. The two NM oscillators are taken to operate in a low-frequency regime with different peak frequencies (and distinct dynamical behaviour). The microscopic neuronal population, in turn, is described by a network of several thousand excitatory and inhibitory spiking neurons operating in a synchronous irregular regime, in which the individual neurons fire very sparsely but collectively give rise to a well-defined rhythm in the gamma range. Our results show that this NN, which operates at a fast temporal scale, is indeed sufficient to mediate coupling between the two mesoscopic oscillators, which evolve dynamically at a slower scale. We also establish how this synchronization depends on the topological properties of the microscopic NN, on its size and on its oscillation frequency.

  • Phase field modeling of fracture: handling stress singularities and crack-front geometrical discontinuities

     Karma, Alain; Nicoli, Matteo; Pons Rivero, Antonio Javier
    Workshop on Computational Methods for Problems with Evolving Domains and Discontinuities
    Presentation's date: 2013-12-05
    Presentation of work at congresses

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  • Consistency mediated by transient chaos

     Pons Rivero, Antonio Javier; Tiana Alsina, Jordi; Martín Buldú, Javier; Torrent Serra, Maria del Carmen; Garcia Ojalvo, Jorge
    Reunión Bienal de la Real Sociedad Española de Física
    p. 744-
    Presentation's date: 2013-07-17
    Presentation of work at congresses

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  • A mesoscopic study of the excitatory/inhibitory coupling effect on synchronization and segregation

     Pons Rivero, Antonio Javier; Malagarriga Guasch, Daniel; Garcia Ojalvo, Jorge
    NETT Summer School
    Presentation's date: 2013-07-01
    Presentation of work at congresses

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  • Phase-field modeling of brittle fracture: geometrically complex crack paths beyond the principle of local symmetry

     Karma, Alain; Pons Rivero, Antonio Javier
    International Conference on Computational Modeling of Fracture and Failure of Materials and Structures
    p. 197-
    Presentation's date: 2013-06-05
    Presentation of work at congresses

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  • Consistency through transient chaos

     Pons Rivero, Antonio Javier; Tiana Alsina, Jordi; Martín Buldú, Javier; Torrent Serra, Maria del Carmen; Garcia Ojalvo, Jorge
    Dynamics Days Europe
    p. 149-
    Presentation's date: 2013-06-04
    Presentation of work at congresses

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  • Cómo se fracturan los materiales

     Pons Rivero, Antonio Javier
    Investigación y ciencia
    num. 436, p. 11-13
    Date of publication: 2013-01-01
    Journal article

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  • ESTOCASTICIDAD EN SISTEMAS COMPLEJOS NOLINEALES

     Pons Rivero, Antonio Javier; Torrent Serra, Maria Del Carmen; Masoller Alonso, Cristina; Pigolotti, Simone; Ramirez de La Piscina Millan, Laureano; Peñaranda Ayllon, Angelina; Malagarriga Guasch, Daniel; Dies Miracle, Marta; Aragoneses Aguado, Andres; Deza, Juan Ignacio; Garcia Ojalvo, Jorge
    Competitive project

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  • Synchronizability and dynamics of coupled neural mass oscillators

     Malagarriga Guasch, Daniel; Garcia Ojalvo, Jorge; Pons Rivero, Antonio Javier
    International Symposium on Nonlinear Theory and its Applications
    p. 493-496
    Presentation's date: 2012-10-24
    Presentation of work at congresses

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  • Integration of cellular signals in chattering environments

     Rué Queralt, Pau; Domedel Puig, Nuria; Garcia Ojalvo, Jorge; Pons Rivero, Antonio Javier
    Progress in biophysics and molecular biology
    Vol. 110, num. 1, p. 106-112
    DOI: 10.1016/j.pbiomolbio.2012.05.003
    Date of publication: 2012-09-08
    Journal article

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  • Exploring the dynamics of Boolean networks using Python: application to cell signaling networks

     Pons Rivero, Antonio Javier; Abad Adan, Elena; Rue Queralt, Pau
    Workshop IBERSINC
    Presentation's date: 2012-09-04
    Presentation of work at congresses

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  • Modelos físicos de actividad cerebral: de la micro- a la macro-escala

     Pons Rivero, Antonio Javier; Garcia Ojalvo, Jorge
    Revista española de física
    Vol. 26, num. 4, p. 48-53
    Date of publication: 2012-09-01
    Journal article

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  • NEURAL ENGINEERING TRANSFORMATIVE TECHNOLOGIES

     Torrent Serra, Maria Del Carmen; Masoller Alonso, Cristina; Garcia Ojalvo, Jorge; Pons Rivero, Antonio Javier
    Competitive project

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  • Noise-induced up/down dynamics in scale-free neuronal networks

     Grau Moya, Jordi; Pons Rivero, Antonio Javier; Garcia Ojalvo, Jorge
    International journal of bifurcation and chaos
    Vol. 22, num. 7, p. 1-11
    DOI: 10.1142/S0218127412501751
    Date of publication: 2012-07-31
    Journal article

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    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 spontaneously in scale-free neuronal networks, provided an optimal amount of noise acts upon all network nodes. Our conclusions are drawn from numerical simulations of networks of subthreshold integrate-and-fire neurons, connected to each other according to a scale-free topology. We study the structure of the up/down regime both in time and in terms of the node degree. We also examine whether localized random perturbations applied to specific network nodes are able to generate up/down dynamics, showing that this regime arises when noisy inputs are applied to low-degree (nonhub) network nodes, but not when they act upon network hubs.

  • Cracks tamed

     Pons Rivero, Antonio Javier
    Nature
    Vol. 485, p. 177-178
    DOI: 10.1038/485177a
    Date of publication: 2012-05-10
    Journal article

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    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.

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    Information routing driven by background chatter in a signaling network  Open access

     Domedel Puig, Nuria; Rué Queralt, Pau; Pons Rivero, Antonio Javier; Garcia Ojalvo, Jorge
    PLOS computational biology
    Vol. 7, num. 12, p. e1002297-1-e1002297-9
    DOI: 10.1371/journal.pcbi.1002297
    Date of publication: 2011-12-08
    Journal article

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    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 conditions is significant. When information is received by a cell signaling network via one specific input, the existence of other stimuli can provide a background activity –or chatter– that may affect signal transmission through the network and, therefore, the response of the cell. Here we study the modulation of information processing by chatter in the signaling network of a human cell, specifically, in a Boolean model of the signal transduction network of a fibroblast. We observe that the level of external chatter shapes the response of the system to information carrying signals in a nontrivial manner, modulates the activity levels of the network outputs, and effectively determines the paths of information flow. Our results show that the interactions and node dynamics, far from being random, confer versatility to the signaling network and allow transitions between different information-processing scenarios.

  • Neural oscillations: from mechanisms to functionality

     Pons Rivero, Antonio Javier; De Sancristobal Alonso, Belen; Garcia Ojalvo, Jorge
    Barcelona Computational and Systems Neuroscience Meeting
    Presentation's date: 2011-06-14
    Presentation of work at congresses

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  • The helical crack-front instability

     Pons Rivero, Antonio Javier; Karma, Alain
    Congreso de Física Estadística
    Presentation's date: 2011-06-03
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  • Modeling signaling information processing through a Boolean network

     Pons Rivero, Antonio Javier; Domedel Puig, Nuria; Rué Queralt, Pau; Garcia Ojalvo, Jorge
    International Congress on Molecular Systems Biology
    Presentation's date: 2011-05-12
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  • Modulating the Phase Coherence of Neuronal Population Oscillations in the Gamma Band

     De Sancristobal Alonso, Belen; Vicente, Raul; Pons Rivero, Antonio Javier; Pipa, Gordon; Garcia Ojalvo, Jorge
    International Conference on Cognitive Neurodynamics
    p. 475-482
    Presentation of work at congresses

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    Relaxation dynamics and frequency response of a noisy cell signaling network  Open access

     Rué Queralt, Pau; Pons Rivero, Antonio Javier; Domedel Puig, Nuria; Garcia Ojalvo, Jorge
    Chaos
    Vol. 20, num. 4, p. 045110-1-045110-7
    DOI: 10.1063/1.3524908
    Date of publication: 2010-12-30
    Journal article

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    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 the network in response to a constant set of inputs, both in the absence and in the presence of environmental fluctuations. We then study the network’s response to periodically modulated signals, uncovering different types of behaviors for different pairs of driven input and output nodes. The phenomena observed include low-pass, high-pass, and band-pass filtering of the input modulations, among other nontrivial responses, at frequencies around the relaxation frequency of the network. The results reveal that the dynamic response to the external modulation of biologically realistic signaling networks is versatile and robust to noise.

  • Relating structural and functional anomalous connectivity in the aging brain via neural mass modeling

     Pons Rivero, Antonio Javier; Cantero, Jose Luis; Atienza, Mercedes; Garcia Ojalvo, Jorge
    Neuroimage
    Vol. 52, num. 3, p. 848-861
    DOI: 10.1016/j.neuroimage.2009.12.105
    Date of publication: 2010-09
    Journal article

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    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 disorders (e.g. Alzheimer's disease). Structure and function can be both currently measured using noninvasive techniques, such as magnetic resonance imaging (MRI) and electroencephalography (EEG) respectively. However, a full theoretical scheme linking structural and functional degradation is still lacking. Here we present a neural mass model that aims to bridge both levels of description and that reproduces experimentally observed multichannel EEG recordings of alpha rhythm in young subjects, healthy elderly subjects, and patients with mild cognitive impairment. We focus our attention in the dominant frequency of the signals at different electrodes and in the correlation between specific electrode pairs, measured via the phase-lag index. Our model allows us to study the influence of different structural connectivity pathways, independently of each other, on the normal and aberrantly aging brain. In particular, we study in detail the effect of the thalamic input on specific cortical regions, the long-range connectivity between cortical regions, and the short-range coupling within the same cortical area. Once the influence of each type of connectivity is determined, we characterize the regions of parameter space compatible with the EEG recordings of the populations under study. Our results show that the different types of connectivity must be fine-tuned to maintain the brain in a healthy functioning state independently of its age and brain condition.

  • From structural to functional connectivity in aging brains: a neural mass modeling

     Pons Rivero, Antonio Javier; Cantero, José Luis; Atienza, Mercedes; Garcia Ojalvo, Jorge
    Annual Meeting of the Organization for Human Brain Mapping
    Presentation's date: 2010-06-07
    Presentation of work at congresses

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  • Helical crack-front instability in mixed-mode fracture

     Pons Rivero, Antonio Javier; Karma, Alain
    Nature
    Vol. 464, p. 85-89
    DOI: 10.1038/nature08862
    Date of publication: 2010-03-04
    Journal article

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    [...]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 derive a theoretical estimate for this scale using a new propagation law for curved cracks in three dimensions. The rotation angles of coarsened facets are also compared to theoretical predictions and available experimental data.

  • DINAMICA NOLINEAL Y ESTOCASTICA EN SISTEMAS FISICOS Y BIOFISICOS

     De Sancristobal Alonso, Belen; Espinar Calvo, Maria Lorena; Torrent Serra, Maria Del Carmen; Masoller Alonso, Cristina; Zamora Munt, Jordi; Tiana Alsina, Jordi; Domedel Puig, Nuria; Pons Rivero, Antonio Javier; Rue Queralt, Pau; Dies Miracle, Marta; Garcia Ojalvo, Jorge
    Competitive project

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  • Relating structural and functional aberrant connectivity in aging brains via neural mass modeling

     Pons Rivero, Antonio Javier; Cantero, José Luis; Atienza, Mercedes; Garcia Ojalvo, Jorge
    International Workshop on Trends in Complex System: Synchronization and Multiscale Complex Dynamics in the Brain
    Presentation's date: 2009-11-03
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  • PROPIETATS DINÀMIQUES I NO LINIALS DE MATERIALS I SITEMES FOTÒNICS, ELÈCTRICS I BIOLÒGICS

     Espinar Calvo, Maria Lorena; Belana Punseti, Juan; Roppo, Vito; Vilaseca Alavedra, Ramon; Torrent Serra, Maria Del Carmen; Herrero Simon, Ramon; Masoller Alonso, Cristina; Staliunas, Kestutis; Mudarra Lopez, Miguel; Zamora Munt, Jordi; Tiana Alsina, Jordi; Sellarès González, Jordi; Cañadas Lorenzo, Juan Carlos; Diego Vives, Jose Antonio; Nistor, Ioan Cristian; Cojocaru, Crina Maria; Trull, Jose; Domedel Puig, Nuria; Aragoneses Aguado, Andres; Òrrit Prat, Jordi; Font Garcia, Josep Lluís; Pons Rivero, Antonio Javier; De Sancristobal Alonso, Belen; Botey Cumella, Muriel; Garcia Ojalvo, Jorge
    Competitive project

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  • Phase field study of three dimensional brittle fracture

     Pons Rivero, Antonio Javier; Karma, Alain
    Symposium on Phase-Field Modelling in Materials Science
    Presentation's date: 2009-08-31
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  • Neural mass modeling of PLI changes in EEG recordings of aging brains

     Pons Rivero, Antonio Javier; Cantero, José Luis; Atienza, Mercedes; Garcia Ojalvo, Jorge
    GABA Scientific Workshop
    Presentation's date: 2009-03-25
    Presentation of work at congresses

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  • Modeling synchronization loss in large-scale brain dynamics

     Pons Rivero, Antonio Javier; Cantero, J L; Atienza, M; Garcia Ojalvo, Jorge
    International Conference on Artificial Neural Networks 2008
    p. 675-684
    DOI: 10.1007/978-3-540-87559-8_70
    Presentation's date: 2008-09-06
    Presentation of work at congresses

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  • Modeling synchronization loss in large-scale brain dynamics

     Pons Rivero, Antonio Javier; Cantero, José Luis; Atienza, Mercedes; Garcia Ojalvo, Jorge
    Lecture notes in computer science
    Vol. 5164, p. 675-684
    DOI: 10.1007/978-3-540-87559-8_70
    Date of publication: 2008-09-03
    Journal article

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  • Nonlinear chemoconvection in the methylene-blue–glucose system: Two-dimensional shallow layers

     Pons Rivero, Antonio Javier; Batiste Boleda, Oriol; Bees, M.A.
    Physical review E: statistical, nonlinear, and soft matter physics
    Vol. 78, num. 1, p. 016316-1-016316-15
    DOI: 10.1103/PhysRevE.78.016316
    Date of publication: 2008-07-23
    Journal article

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  • Modeling synchronization loss in large-scale brain dynamics

     Pons Rivero, Antonio Javier; Cantero, Jose Luis; Atienza, Mercedes; Garcia Ojalvo, Jorge
    GABA Scientific Workshop
    Presentation's date: 2008-05-28
    Presentation of work at congresses

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  • Modeling synchronization loss in Alzheimer’s disease

     Pons Rivero, Antonio Javier; Garcia Ojalvo, Jorge; Cantero, José Luis; Atienza, Mercedes
    Synchronizability and Network Topology in Artificial and Natural Neural Networks
    Presentation's date: 2008-04-25
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  • Synchronization loss in large-scale brain dynamics

     Pons Rivero, Antonio Javier; Cantero, José Luis; Atienza, Mercedes; Garcia Ojalvo, Jorge
    Noise in Life: Stochastic Dynamics in the Neurosciences
    Presentation's date: 2007-11-07
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  • Synchronization loss in large-scale brain dynamics

     Pons Rivero, Antonio Javier; Cantero, José Luis; Atienza, Mercedes; Garcia Ojalvo, Jorge
    Coherent Behavior in Neuronal Networks
    Presentation's date: 2007-10-18
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  • Feedback control of unstable cellular solidification fronts

     Pons Rivero, Antonio Javier; Karma, Alain; Akamatsu, Silvère; Newey, Michael; Pomerance, Andrew; Singer, Herman; Losert, Wolfgang
    Physical review E, statistical physics, plasmas, fluids, and related interdisciplinary topics
    Vol. 75, num. 2, p. 021602-1-021602-5
    DOI: 10.1103/PhysRevE.75.021602
    Date of publication: 2007-02-08
    Journal article

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  • GABA: Global Approach to Brain Activity (FP6-2005-NEST-Path-043309)

     Masoller Alonso, Cristina; Garcia Ojalvo, Jorge; Torrent Serra, Maria Del Carmen; Pons Rivero, Antonio Javier
    Competitive project

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  • Chemoconvection patterns in the methylene-blue-glucose system: weakly nonlinear analysis

     Pons Rivero, Antonio Javier; Sagués Mestre, Francesc; Bees, M.A.
    Physical review E, statistical physics, plasmas, fluids, and related interdisciplinary topics
    Vol. 70, num. 6, p. 066304-1-066304-9
    DOI: 10.1103/PhysRevE.70.066304
    Date of publication: 2004-12-07
    Journal article

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  • Derivation of amplitude equations for a chemoconvection pattern-forming instability

     Pons Rivero, Antonio Javier; Sagués Mestre, Francesc; Bees, Martin
    International Workshop on Trends in Pattern Formation: from Amplitude Equations to Applications
    Presentation's date: 2003-10-15
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  • Patterns in the "Blue Bottle": experiments and theory

     Pons Rivero, Antonio Javier; Sagués Mestre, Francesc; Bees, Martin; Soerensen, Preben
    International Seminar on Trends in Pattern Formation: From Amplitude Equations to Applications
    Presentation's date: 2003-09-09
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  • Quantitative analysis of chemoconvection patterns

     Pons Rivero, Antonio Javier; Sagués Mestre, Francesc; Soerensen, Preben; Bees, Martin
    PHYSBIO Non-equilibrium in Physics and Biology
    Presentation's date: 2002-09-17
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  • Quantitative analysis of chemoconvection patterns in the methylene-blue-glucose system

     Pons Rivero, Antonio Javier; Sagués Mestre, Francesc; Bees, M.A.; Sorensen, Preben Grae
    Journal of physical chemistry B
    Vol. 106, num. 29, p. 7252-7259
    DOI: 10.1021/jp014346n
    Date of publication: 2002-06-27
    Journal article

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  • Análisis cuantitativo de estructuras espacio-temporales quimioconvectivas

     Pons Rivero, Antonio Javier; Sagués Mestre, Francesc; Bees, Martin; Soerensen, Preben
    Congreso de Física Estadística
    Presentation's date: 2002-05-24
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  • Modelling a chemically driven hydrodynamic instability

     Pons Rivero, Antonio Javier; Sagués Mestre, Francesc; Soerensen, Preben; Bees, Martin
    Xarxa Temàtica en Dinàmiques no Lineals d'Autoorganització Espai-temporal
    Presentation's date: 2002-02-08
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  • Non-equilibrium Physics: from Complex Fluids to Biological Systems (PHYNECS HCR-Network)

     Casademunt Viader, Jaume; Alvarez Lacalle, Enrique; Pons Rivero, Antonio Javier
    Competitive project

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  • Chemoconvection: a chemically induced hydrodynamic instability

     Pons Rivero, Antonio Javier; Sagués Mestre, Francesc; Soerensen, Preben; Bees, Martin
    Graduate School in Nonlinear Science
    Presentation's date: 2001-06-12
    Presentation of work at congresses

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