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  1. Article ; Online: Magnetic hysteresis mechanism in Lu

    Lurgo, Florencia E / Sánchez, Rodolfo D / Carbonio, Raúl E / Billoni, Orlando V

    Journal of physics. Condensed matter : an Institute of Physics journal

    2024  Volume 36, Issue 32

    Abstract: In this work we report magnetic properties of the orthorhombic perovskite ... ...

    Abstract In this work we report magnetic properties of the orthorhombic perovskite Lu
    Language English
    Publishing date 2024-05-17
    Publishing country England
    Document type Journal Article
    ZDB-ID 1472968-4
    ISSN 1361-648X ; 0953-8984
    ISSN (online) 1361-648X
    ISSN 0953-8984
    DOI 10.1088/1361-648X/ad475d
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  2. Article ; Online: Magnetization reversal study of Ni4-xZn

    Rufeil Fiori, Elena / Bolletta, Juan P / Martin, Christine / Maignan, Antoine / Billoni, Orlando V

    Journal of physics. Condensed matter : an Institute of Physics journal

    2023  Volume 36, Issue 1

    Abstract: The magnetization reversal (MR) of the layered Ni4- ... ...

    Abstract The magnetization reversal (MR) of the layered Ni4-xZn
    Language English
    Publishing date 2023-09-27
    Publishing country England
    Document type Journal Article
    ZDB-ID 1472968-4
    ISSN 1361-648X ; 0953-8984
    ISSN (online) 1361-648X
    ISSN 0953-8984
    DOI 10.1088/1361-648X/acf986
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Short-ranged memory model with preferential growth.

    Schaigorodsky, Ana L / Perotti, Juan I / Almeira, Nahuel / Billoni, Orlando V

    Physical review. E

    2018  Volume 97, Issue 2-1, Page(s) 22132

    Abstract: In this work we introduce a variant of the Yule-Simon model for preferential growth by incorporating a finite kernel to model the effects of bounded memory. We characterize the properties of the model combining analytical arguments with extensive ... ...

    Abstract In this work we introduce a variant of the Yule-Simon model for preferential growth by incorporating a finite kernel to model the effects of bounded memory. We characterize the properties of the model combining analytical arguments with extensive numerical simulations. In particular, we analyze the lifetime and popularity distributions by mapping the model dynamics to corresponding Markov chains and branching processes, respectively. These distributions follow power laws with well-defined exponents that are within the range of the empirical data reported in ecologies. Interestingly, by varying the innovation rate, this simple out-of-equilibrium model exhibits many of the characteristics of a continuous phase transition and, around the critical point, it generates time series with power-law popularity, lifetime and interevent time distributions, and nontrivial temporal correlations, such as a bursty dynamics in analogy with the activity of solar flares. Our results suggest that an appropriate balance between innovation and oblivion rates could provide an explanatory framework for many of the properties commonly observed in many complex systems.
    Language English
    Publishing date 2018-02
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2844562-4
    ISSN 2470-0053 ; 2470-0045
    ISSN (online) 2470-0053
    ISSN 2470-0045
    DOI 10.1103/PhysRevE.97.022132
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  4. Article ; Online: A Study of Memory Effects in a Chess Database.

    Schaigorodsky, Ana L / Perotti, Juan I / Billoni, Orlando V

    PloS one

    2016  Volume 11, Issue 12, Page(s) e0168213

    Abstract: A series of recent works studying a database of chronologically sorted chess games-containing 1.4 million games played by humans between 1998 and 2007- have shown that the popularity distribution of chess game-lines follows a Zipf's law, and that time ... ...

    Abstract A series of recent works studying a database of chronologically sorted chess games-containing 1.4 million games played by humans between 1998 and 2007- have shown that the popularity distribution of chess game-lines follows a Zipf's law, and that time series inferred from the sequences of those game-lines exhibit long-range memory effects. The presence of Zipf's law together with long-range memory effects was observed in several systems, however, the simultaneous emergence of these two phenomena were always studied separately up to now. In this work, by making use of a variant of the Yule-Simon preferential growth model, introduced by Cattuto et al., we provide an explanation for the simultaneous emergence of Zipf's law and long-range correlations memory effects in a chess database. We find that Cattuto's Model (CM) is able to reproduce both, Zipf's law and the long-range correlations, including size-dependent scaling of the Hurst exponent for the corresponding time series. CM allows an explanation for the simultaneous emergence of these two phenomena via a preferential growth dynamics, including a memory kernel, in the popularity distribution of chess game-lines. This mechanism results in an aging process in the chess game-line choice as the database grows. Moreover, we find burstiness in the activity of subsets of the most active players, although the aggregated activity of the pool of players displays inter-event times without burstiness. We show that CM is not able to produce time series with bursty behavior providing evidence that burstiness is not required for the explanation of the long-range correlation effects in the chess database. Our results provide further evidence favoring the hypothesis that long-range correlations effects are a consequence of the aging of game-lines and not burstiness, and shed light on the mechanism that operates in the simultaneous emergence of Zipf's law and long-range correlations in a community of chess players.
    MeSH term(s) Algorithms ; Databases, Factual ; Games, Recreational ; Humans ; Memory/physiology ; Mental Processes ; Models, Statistical ; Sports
    Language English
    Publishing date 2016
    Publishing country United States
    Document type Journal Article
    ISSN 1932-6203
    ISSN (online) 1932-6203
    DOI 10.1371/journal.pone.0168213
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  5. Article ; Online: Universal and nonuniversal neural dynamics on small world connectomes: A finite-size scaling analysis.

    Zarepour, Mahdi / Perotti, Juan I / Billoni, Orlando V / Chialvo, Dante R / Cannas, Sergio A

    Physical review. E

    2019  Volume 100, Issue 5-1, Page(s) 52138

    Abstract: Evidence of critical dynamics has been found recently in both experiments and models of large-scale brain dynamics. The understanding of the nature and features of such a critical regime is hampered by the relatively small size of the available ... ...

    Abstract Evidence of critical dynamics has been found recently in both experiments and models of large-scale brain dynamics. The understanding of the nature and features of such a critical regime is hampered by the relatively small size of the available connectome, which prevents, among other things, the determination of its associated universality class. To circumvent that, here we study a neural model defined on a class of small-world networks that share some topological features with the human connectome. We find that varying the topological parameters can give rise to a scale-invariant behavior either belonging to the mean-field percolation universality class or having nonuniversal critical exponents. In addition, we find certain regions of the topological parameter space where the system presents a discontinuous, i.e., noncritical, dynamical phase transition into a percolated state. Overall, these results shed light on the interplay of dynamical and topological roots of the complex brain dynamics.
    Language English
    Publishing date 2019-12-10
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2844562-4
    ISSN 2470-0053 ; 2470-0045
    ISSN (online) 2470-0053
    ISSN 2470-0045
    DOI 10.1103/PhysRevE.100.052138
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Smart random walkers: the cost of knowing the path.

    Perotti, Juan I / Billoni, Orlando V

    Physical review. E, Statistical, nonlinear, and soft matter physics

    2012  Volume 86, Issue 1 Pt 1, Page(s) 11120

    Abstract: In this work we study the problem of targeting signals in networks using entropy information measurements to quantify the cost of targeting. We introduce a penalization rule that imposes a restriction on the long paths and therefore focuses the signal to ...

    Abstract In this work we study the problem of targeting signals in networks using entropy information measurements to quantify the cost of targeting. We introduce a penalization rule that imposes a restriction on the long paths and therefore focuses the signal to the target. By this scheme we go continuously from fully random walkers to walkers biased to the target. We found that the optimal degree of penalization is mainly determined by the topology of the network. By analyzing several examples, we have found that a small amount of penalization reduces considerably the typical walk length, and from this we conclude that a network can be efficiently navigated with restricted information.
    MeSH term(s) Algorithms ; Artificial Intelligence ; Computer Simulation ; Data Interpretation, Statistical ; Models, Statistical
    Language English
    Publishing date 2012-07
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1550-2376
    ISSN (online) 1550-2376
    DOI 10.1103/PhysRevE.86.011120
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  7. Article ; Online: Structure constrained by metadata in networks of chess players.

    Almeira, Nahuel / Schaigorodsky, Ana L / Perotti, Juan I / Billoni, Orlando V

    Scientific reports

    2017  Volume 7, Issue 1, Page(s) 15186

    Abstract: Chess is an emblematic sport that stands out because of its age, popularity and complexity. It has served to study human behavior from the perspective of a wide number of disciplines, from cognitive skills such as memory and learning, to aspects like ... ...

    Abstract Chess is an emblematic sport that stands out because of its age, popularity and complexity. It has served to study human behavior from the perspective of a wide number of disciplines, from cognitive skills such as memory and learning, to aspects like innovation and decision-making. Given that an extensive documentation of chess games played throughout history is available, it is possible to perform detailed and statistically significant studies about this sport. Here we use one of the most extensive chess databases in the world to construct two networks of chess players. One of the networks includes games that were played over-the-board and the other contains games played on the Internet. We study the main topological characteristics of the networks, such as degree distribution and correlations, transitivity and community structure. We complement the structural analysis by incorporating players' level of play as node metadata. Although both networks are topologically different, we show that in both cases players gather in communities according to their expertise and that an emergent rich-club structure, composed by the top-rated players, is also present.
    MeSH term(s) Community Networks ; Humans ; Metadata ; Social Behavior ; Sports
    Language English
    Publishing date 2017-11-09
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-017-15428-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Mitochondrial network complexity emerges from fission/fusion dynamics.

    Zamponi, Nahuel / Zamponi, Emiliano / Cannas, Sergio A / Billoni, Orlando V / Helguera, Pablo R / Chialvo, Dante R

    Scientific reports

    2018  Volume 8, Issue 1, Page(s) 363

    Abstract: Mitochondrial networks exhibit a variety of complex behaviors, including coordinated cell-wide oscillations of energy states as well as a phase transition (depolarization) in response to oxidative stress. Since functional and structural properties are ... ...

    Abstract Mitochondrial networks exhibit a variety of complex behaviors, including coordinated cell-wide oscillations of energy states as well as a phase transition (depolarization) in response to oxidative stress. Since functional and structural properties are often interwinded, here we characterized the structure of mitochondrial networks in mouse embryonic fibroblasts using network tools and percolation theory. Subsequently we perturbed the system either by promoting the fusion of mitochondrial segments or by inducing mitochondrial fission. Quantitative analysis of mitochondrial clusters revealed that structural parameters of healthy mitochondria laid in between the extremes of highly fragmented and completely fusioned networks. We confirmed our results by contrasting our empirical findings with the predictions of a recently described computational model of mitochondrial network emergence based on fission-fusion kinetics. Altogether these results offer not only an objective methodology to parametrize the complexity of this organelle but also support the idea that mitochondrial networks behave as critical systems and undergo structural phase transitions.
    MeSH term(s) Algorithms ; Animals ; Fibroblasts ; Gene Expression ; Genes, Reporter ; Mice ; Microscopy, Fluorescence ; Mitochondria/metabolism ; Mitochondrial Dynamics ; Models, Biological
    Language English
    Publishing date 2018-01-10
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-017-18351-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Book ; Online: Universal and non-universal neural dynamics on small world connectomes

    Zarepour, Mahdi / Perotti, Juan I. / Billoni, Orlando V. / Chialvo, Dante R. / Cannas, Sergio A.

    a finite size scaling analysis

    2019  

    Abstract: Evidence of critical dynamics has been recently found in both experiments and models of large scale brain dynamics. The understanding of the nature and features of such critical regime is hampered by the relatively small size of the available connectome, ...

    Abstract Evidence of critical dynamics has been recently found in both experiments and models of large scale brain dynamics. The understanding of the nature and features of such critical regime is hampered by the relatively small size of the available connectome, which prevent among other things to determine its associated universality class. To circumvent that, here we study a neural model defined on a class of small-world network that share some topological features with the human connectome. We found that varying the topological parameters can give rise to a scale-invariant behavior belonging either to mean field percolation universality class or having non universal critical exponents. In addition, we found certain regions of the topological parameters space where the system presents a discontinuous (i.e., non critical) dynamical phase transition into a percolated state. Overall these results shed light on the interplay of dynamical and topological roots of the complex brain dynamics.

    Comment: 6 pages, 6 figures
    Keywords Condensed Matter - Disordered Systems and Neural Networks ; Nonlinear Sciences - Adaptation and Self-Organizing Systems ; Physics - Physics and Society
    Subject code 612
    Publishing date 2019-05-13
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Finite-temperature phase diagram of ultrathin magnetic films without external fields.

    Pighin, Santiago A / Billoni, Orlando V / Cannas, Sergio A

    Physical review. E, Statistical, nonlinear, and soft matter physics

    2012  Volume 86, Issue 5 Pt 1, Page(s) 51119

    Abstract: We analyze the finite-temperature phase diagram of ultrathin magnetic films by introducing a mean-field theory, valid in the low-anisotropy regime, i.e., close to the spin reorientation transition. The theoretical results are compared with Monte Carlo ... ...

    Abstract We analyze the finite-temperature phase diagram of ultrathin magnetic films by introducing a mean-field theory, valid in the low-anisotropy regime, i.e., close to the spin reorientation transition. The theoretical results are compared with Monte Carlo simulations carried out on a microscopic Heisenberg model. Connections between the finite-temperature behavior and the ground-state properties of the system are established. Several properties of the stripe pattern, such as the presence of canted states, the stripe width variation phenomenon, and the associated magnetization profiles, are also analyzed.
    MeSH term(s) Anisotropy ; Computer Simulation ; Magnetic Fields ; Magnets ; Membranes, Artificial ; Models, Statistical ; Monte Carlo Method ; Phase Transition ; Quantum Theory ; Temperature
    Chemical Substances Membranes, Artificial
    Language English
    Publishing date 2012-11
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1550-2376
    ISSN (online) 1550-2376
    DOI 10.1103/PhysRevE.86.051119
    Database MEDical Literature Analysis and Retrieval System OnLINE

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