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  1. AU="Peleg, Orit"
  2. AU=Lorente L
  3. AU="Cheney, Gabrielle L"
  4. AU="Christopher J. Bailey"
  5. AU="Nasif, Abdullah"
  6. AU=Oberman Lindsay M.
  7. AU="de Oliveira, Guilherme Xavier Lyra Malcher" AU="de Oliveira, Guilherme Xavier Lyra Malcher"
  8. AU="Afaneh, Hasheemah"
  9. AU="Galicia-Hernández, Victoria"
  10. AU="Daniel A. Haber"
  11. AU=Bu Fangfang
  12. AU="Fox, Kevin J"
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  14. AU="Marquardt, Viktoria"
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  26. AU="Veiga, Susana"
  27. AU="Reynolds, Matthew W."
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  1. Article ; Online: Chimera states among synchronous fireflies.

    Sarfati, Raphaël / Peleg, Orit

    Science advances

    2022  Volume 8, Issue 46, Page(s) eadd6690

    Abstract: Systems of oscillators often converge to a state of synchrony when sufficiently interconnected. Twenty years ago, the mathematical analysis of models of coupled oscillators revealed the possibility for complex phases that exhibit a coexistence of ... ...

    Abstract Systems of oscillators often converge to a state of synchrony when sufficiently interconnected. Twenty years ago, the mathematical analysis of models of coupled oscillators revealed the possibility for complex phases that exhibit a coexistence of synchronous and asynchronous clusters, known as "chimera states." Beyond their recurrence in theoretical models, chimeras have been observed under specifically designed experimental conditions, yet their emergence in nature has remained elusive. Here, we report evidence for the occurrence of chimeras in a celebrated realization of natural synchrony: fireflies. In video recordings of
    Language English
    Publishing date 2022-11-16
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2810933-8
    ISSN 2375-2548 ; 2375-2548
    ISSN (online) 2375-2548
    ISSN 2375-2548
    DOI 10.1126/sciadv.add6690
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Thermoregulatory morphodynamics of honeybee swarm clusters.

    Peters, Jacob M / Peleg, Orit / Mahadevan, L

    The Journal of experimental biology

    2022  Volume 225, Issue 5

    Abstract: During reproductive swarming, honeybee clusters of more than 10,000 individuals that hang from structures in the environment (e.g. tree branches) are exposed to diurnal variations in ambient temperature for up to a week. Swarm clusters collectively ... ...

    Abstract During reproductive swarming, honeybee clusters of more than 10,000 individuals that hang from structures in the environment (e.g. tree branches) are exposed to diurnal variations in ambient temperature for up to a week. Swarm clusters collectively modulate their morphology in response to these variations (i.e. expanding/contracting in response to heating/cooling) to maintain their internal temperature within a tolerable range and to avoid exhausting their honey stores prematurely. To understand the spatiotemporal aspects of thermoregulatory morphing, we measured the change in size, shape and internal temperature profiles of swarm clusters in response to dynamic temperature ramp perturbations. Swarm clusters showed a two-fold variation in their volume/density when heated from 15°C to 30°C. However, they did not reach an equilibrium size or shape when held at 30°C for 5 h, long after the core temperature of the cluster had stabilized. Furthermore, the changes in cluster shape and size were hysteretic, contracting in response to cooling faster than expanding in response to heating. Although the base contact diameter of the cluster increased continuously when the swarm was heated, the change in length of the swarm (base to tip) over time was non-monotonic. Consequently, the aspect ratio of the swarm fluctuated continuously even when held at a constant temperature. Taken together, our results quantify the hysteretic and anisotropic morphological responses of swarm clusters to ambient temperature variations while suggesting that both mechanical constraints and heat transfer govern their thermoregulatory morphodynamics.
    MeSH term(s) Animals ; Bees ; Body Temperature Regulation/physiology ; Cold Temperature ; Hot Temperature ; Humans ; Temperature
    Language English
    Publishing date 2022-03-07
    Publishing country England
    Document type Journal Article ; Research Support, U.S. Gov't, Non-P.H.S.
    ZDB-ID 218085-6
    ISSN 1477-9145 ; 0022-0949
    ISSN (online) 1477-9145
    ISSN 0022-0949
    DOI 10.1242/jeb.242234
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2629: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  3. Article ; Online: Statistical analysis reveals the onset of synchrony in sparse swarms of

    Sarfati, Raphaël / Gaudette, Laura / Cicero, Joseph M / Peleg, Orit

    Journal of the Royal Society, Interface

    2022  Volume 19, Issue 188, Page(s) 20220007

    Abstract: Flash synchrony within firefly swarms is an elegant but elusive manifestation of collective animal behaviour. It has been observed, and sometimes demonstrated, in a few populations across the world, but exactly which species are capable of large-scale ... ...

    Abstract Flash synchrony within firefly swarms is an elegant but elusive manifestation of collective animal behaviour. It has been observed, and sometimes demonstrated, in a few populations across the world, but exactly which species are capable of large-scale synchronization remains unclear, especially for low-density swarms. The underlying question which we address here is: how does one qualify a collective flashing display as synchronous, given that the only information available is the time and location of flashes? We propose different statistical approaches and apply them to high-resolution stereoscopic video recordings of the collective flashing of
    MeSH term(s) Animals ; Behavior, Animal ; Fireflies ; Research Design
    Language English
    Publishing date 2022-03-23
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2156283-0
    ISSN 1742-5662 ; 1742-5689
    ISSN (online) 1742-5662
    ISSN 1742-5689
    DOI 10.1098/rsif.2022.0007
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Crystallography of honeycomb formation under geometric frustration.

    Fard, Golnar Gharooni / Zhang, Daisy / Jiménez, Francisco López / Peleg, Orit

    Proceedings of the National Academy of Sciences of the United States of America

    2022  Volume 119, Issue 48, Page(s) e2205043119

    Abstract: As honeybees build their nests in preexisting tree cavities, they must deal with the presence of geometric constraints, resulting in nonregular hexagons and topological defects in the comb. In this work, we study how bees adapt to their environment in ... ...

    Abstract As honeybees build their nests in preexisting tree cavities, they must deal with the presence of geometric constraints, resulting in nonregular hexagons and topological defects in the comb. In this work, we study how bees adapt to their environment in order to regulate the comb structure. Specifically, we identify the irregularities in honeycomb structure in the presence of various geometric frustrations. We 3D-print experimental frames with a variety of constraints imposed on the imprinted foundations. The combs constructed by the bees show clear evidence of recurring patterns in response to specific geometric frustrations on these starter frames. Furthermore, using an experimental-modeling framework, we demonstrate that these patterns can be successfully modeled and replicated through a simulated annealing process, in which the minimized potential is a variation of the Lennard-Jones potential that considers only first-neighbor interactions according to a Delaunay triangulation. Our simulation results not only confirm the connection between honeycomb structures and other crystal systems such as graphene, but also show that irregularities in the honeycomb structure can be explained as the result of analogous interactions between cells and their immediate surroundings, leading to emergent global order. Additionally, our computational model can be used as a first step to describe specific strategies that bees use to effectively solve geometric mismatches while minimizing cost of comb building.
    MeSH term(s) Animals ; Bees ; Computer Simulation ; Crystallography ; Food ; Frustration
    Language English
    Publishing date 2022-11-23
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 209104-5
    ISSN 1091-6490 ; 0027-8424
    ISSN (online) 1091-6490
    ISSN 0027-8424
    DOI 10.1073/pnas.2205043119
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1148: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  5. Article ; Online: Embracing firefly flash pattern variability with data-driven species classification.

    Martin, Owen / Nguyen, Chantal / Sarfati, Raphael / Chowdhury, Murad / Iuzzolino, Michael L / Nguyen, Dieu My T / Layer, Ryan M / Peleg, Orit

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 3432

    Abstract: Many nocturnally active fireflies use precisely timed bioluminescent patterns to identify mates, making them especially vulnerable to light pollution. As urbanization continues to brighten the night sky, firefly populations are under constant stress, and ...

    Abstract Many nocturnally active fireflies use precisely timed bioluminescent patterns to identify mates, making them especially vulnerable to light pollution. As urbanization continues to brighten the night sky, firefly populations are under constant stress, and close to half of the species are now threatened. Ensuring the survival of firefly biodiversity depends on a large-scale conservation effort to monitor and protect thousands of populations. While species can be identified by their flash patterns, current methods require expert measurement and manual classification and are infeasible given the number and geographic distribution of fireflies. Here we present the application of a recurrent neural network (RNN) for accurate automated firefly flash pattern classification. Using recordings from commodity cameras, we can extract flash trajectories of individuals within a swarm and classify their species with an accuracy of approximately seventy percent. In addition to its potential in population monitoring, automated classification provides the means to study firefly behavior at the population level. We employ the classifier to measure and characterize the variability within and between swarms, unlocking a new dimension of their behavior. Our method is open source, and deployment in community science applications could revolutionize our ability to monitor and understand firefly populations.
    MeSH term(s) Humans ; Animals ; Fireflies ; Sexual Behavior, Animal
    Language English
    Publishing date 2024-02-10
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-024-53671-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Self-organization in natural swarms of

    Sarfati, Raphaël / Hayes, Julie C / Peleg, Orit

    Science advances

    2021  Volume 7, Issue 28

    Abstract: Fireflies flashing in unison is a mesmerizing manifestation of animal collective behavior and an archetype of biological synchrony. To elucidate synchronization mechanisms and inform theoretical models, we recorded the collective display of thousands ... ...

    Abstract Fireflies flashing in unison is a mesmerizing manifestation of animal collective behavior and an archetype of biological synchrony. To elucidate synchronization mechanisms and inform theoretical models, we recorded the collective display of thousands of
    Language English
    Publishing date 2021-07-07
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2810933-8
    ISSN 2375-2548 ; 2375-2548
    ISSN (online) 2375-2548
    ISSN 2375-2548
    DOI 10.1126/sciadv.abg9259
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Emergent periodicity in the collective synchronous flashing of fireflies.

    Sarfati, Raphael / Joshi, Kunaal / Martin, Owen / Hayes, Julie C / Iyer-Biswas, Srividya / Peleg, Orit

    eLife

    2023  Volume 12

    Abstract: In isolation from their peers, Photinus carolinus fireflies flash with no intrinsic period between successive bursts. Yet, when congregating into large mating swarms, these fireflies transition into predictability, synchronizing with their neighbors with ...

    Abstract In isolation from their peers, Photinus carolinus fireflies flash with no intrinsic period between successive bursts. Yet, when congregating into large mating swarms, these fireflies transition into predictability, synchronizing with their neighbors with a rhythmic periodicity. Here we propose a mechanism for emergence of synchrony and periodicity, and formulate the principle in a mathematical framework. Remarkably, with no fitting parameters, analytic predictions from this simple principle and framework agree strikingly well with data. Next, we add further sophistication to the framework using a computational approach featuring groups of random oscillators via integrate-and-fire interactions controlled by a tunable parameter. This agent-based framework of P. carolinus fireflies interacting in swarms of increasing density also shows quantitatively similar phenomenology and reduces to the analytic framework in the appropriate limit of the tunable coupling strength. We discuss our findings and note that the resulting dynamics follow the style of a decentralized follow-the-leader synchronization, where any of the randomly flashing individuals may take the role of the leader of any subsequent synchronized flash burst.
    Language English
    Publishing date 2023-03-13
    Publishing country England
    Document type Journal Article
    ZDB-ID 2687154-3
    ISSN 2050-084X ; 2050-084X
    ISSN (online) 2050-084X
    ISSN 2050-084X
    DOI 10.7554/eLife.78908
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Book ; Online ; Thesis: Coarse-grained models of competitive interactions in biophysical systems

    Peleg, Orit

    from chains and fibrillar networks to hairy surfaces

    2012  

    Author's details by Orit Peleg
    Language English
    Size Online-Ressource (241 S), Ill
    Publisher ETH
    Publishing place Zürich
    Document type Book ; Online ; Thesis
    Thesis / German Habilitation thesis Diss., Eidgenössische Technische Hochschule ETH Zürich, Nr. 20364--Zürich, 2036
    Database Former special subject collection: coastal and deep sea fishing

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  9. Book ; Online ; Thesis: Coarse-grained models of competitive interactions in biophysical systems

    Peleg, Orit

    from chains and fibrillar networks to hairy surfaces

    2012  

    Author's details by Orit Peleg
    Language English
    Size Online-Ressource (241 S), Ill
    Publisher ETH
    Publishing place Zürich
    Document type Book ; Online ; Thesis
    Thesis / German Habilitation thesis Diss., Eidgenössische Technische Hochschule ETH Zürich, Nr. 20364--Zürich, 2036
    Database Library catalogue of the German National Library of Science and Technology (TIB), Hannover

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  10. Article ; Online: Formation of double helical and filamentous structures in models of physical and chemical gels.

    Kröger, Martin / Peleg, Orit / Ding, Yi / Rabin, Yitzhak

    Soft matter

    2020  Volume 4, Issue 1, Page(s) 18–28

    Abstract: This discusses two recent models, one that captures physical network formation starting from the molecular architecture of its constituents and another that contains the basic features of phase separation in cross-linked polymer gels: A) the Janus chain ( ...

    Abstract This discusses two recent models, one that captures physical network formation starting from the molecular architecture of its constituents and another that contains the basic features of phase separation in cross-linked polymer gels: A) the Janus chain (multibead bead-spring type) model exhibiting semiflexibility and induced curvature and B) a stretched elastic network of Lennard-Jones particles. The length scales and related structures predicted by the two generic models are different. Model B, a generic soft solid model, exhibits hysteresis and the formation of filamentous structures in two dimensions. The Janus chain model A is able to describe the process of the formation of double helical superstructures, will be operated in three dimensions, and its internal parameters are directly deduced from atomistic simulation. Both models rely on classical ingredients which have been separately studied extensively: i) the Lennard-Jones particle system, ii) the elastic solid, and iii) the FENE-B model for semiflexible, finitely extendable nonlinear elastic (FENE) polymer chains. While model A combines i) and iii), model B combines i) and ii). This aspect of technical simplicity, however, is contrasted by the rich phenomenology observed for these models. The Janus model even resolves structure formation on the molecular scale. Intriguingly, the coarse dynamical models capture a wide range of superstructures known for polymeric networks and therefore clearly serve to understand their underlying physical mechanisms.
    Language English
    Publishing date 2020-09-07
    Publishing country England
    Document type Journal Article
    ZDB-ID 2191476-X
    ISSN 1744-6848 ; 1744-683X
    ISSN (online) 1744-6848
    ISSN 1744-683X
    DOI 10.1039/b710147c
    Database MEDical Literature Analysis and Retrieval System OnLINE

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