arXiv - PHYS - Adaptation and Self-Organizing Systems最新文献_第7页

Keep the bees off the trees: The particular vulnerability of species in the periphery of mutualistic networks to shock perturbations 让蜜蜂远离树木互惠网络外围物种对冲击扰动的特殊脆弱性

arXiv - PHYS - Adaptation and Self-Organizing Systems Pub Date : 2024-03-04 DOI: arxiv-2403.02085

Lukas Halekotte, Anna Vanselow, Ulrike Feudel

{"title":"Keep the bees off the trees: The particular vulnerability of species in the periphery of mutualistic networks to shock perturbations","authors":"Lukas Halekotte, Anna Vanselow, Ulrike Feudel","doi":"arxiv-2403.02085","DOIUrl":"https://doi.org/arxiv-2403.02085","url":null,"abstract":"We study the phenomenon of multistability in mutualistic networks of plants\u0000and pollinators, where one desired state in which all species coexist competes\u0000with multiple states in which some species are gone extinct. In this setting,\u0000we examine the relation between the endangerment of pollinator species and\u0000their position within the mutualistic network. To this end, we compare\u0000endangerment rankings which are derived from the species' probabilities of\u0000going extinct due to random shock perturbations with rankings obtained from\u0000different network theoretic centrality metrics. We find that a pollinator's\u0000endangerment is strongly linked to its degree of mutualistic specialization and\u0000its position within the core-periphery structure of its mutualistic network,\u0000with the most endangered species being specialists in the outer periphery.\u0000Since particularly well established instances of such peripheral areas are\u0000tree-shaped structures which stem from links between nodes/species in the\u0000outermost shell of the network, we summarized our findings in the admittedly\u0000ambiguous slogan 'keep the bees off the trees'. Finally, we challenge the\u0000generality of our findings by testing whether the title of this work still\u0000applies when being located in the outer periphery allows pollinators to avoid\u0000competitive pressure.","PeriodicalId":501305,"journal":{"name":"arXiv - PHYS - Adaptation and Self-Organizing Systems","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140036585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Lévy noise-induced coherence resonance in the FitzHugh-Nagumo oscillator: numerical study versus experiment FitzHugh-Nagumo 振荡器中由莱维噪声诱发的相干共振：数值研究与实验对比

arXiv - PHYS - Adaptation and Self-Organizing Systems Pub Date : 2024-02-29 DOI: arxiv-2402.19426

Ivan Korneev, Anna Zakharova, Vladimir V. Semenov

引用次数: 0

Phase autoencoder for limit-cycle oscillators 用于极限周期振荡器的相位自动编码器

arXiv - PHYS - Adaptation and Self-Organizing Systems Pub Date : 2024-02-28 DOI: arxiv-2403.06992

Koichiro Yawata, Kai Fukami, Kunihiko Taira, Hiroya Nakao

引用次数: 0

Looking for Complexity at Phase Boundaries in Continuous Cellular Automata 寻找连续细胞自动机相界的复杂性

arXiv - PHYS - Adaptation and Self-Organizing Systems Pub Date : 2024-02-27 DOI: arxiv-2402.17848

Vassilis Papadopoulos, Guilhem Doat, Arthur Renard, Clément Hongler

引用次数: 0

Delayed-feedback oscillators replicate the dynamics of multiplex networks: wavefront propagation and stochastic resonance 延迟反馈振荡器复制多路复用网络的动态：波前传播和随机共振

arXiv - PHYS - Adaptation and Self-Organizing Systems Pub Date : 2024-02-26 DOI: arxiv-2402.16551

Anna Zakharova, Vladimir V. Semenov

{"title":"Delayed-feedback oscillators replicate the dynamics of multiplex networks: wavefront propagation and stochastic resonance","authors":"Anna Zakharova, Vladimir V. Semenov","doi":"arxiv-2402.16551","DOIUrl":"https://doi.org/arxiv-2402.16551","url":null,"abstract":"The widespread development and use of neural networks have significantly\u0000enriched a wide range of computer algorithms and promise higher speed at lower\u0000cost. However, the imitation of neural networks by means of modern computing\u0000substrates is highly inefficient, whereas physical realization of large scale\u0000networks remains challenging. Fortunately, delayed-feedback oscillators, being\u0000much easier to realize experimentally, represent promising candidates for the\u0000empirical implementation of neural networks and next generation computing\u0000architectures. In the current research, we demonstrate that coupled bistable\u0000delayed-feedback oscillators emulate a multilayer network, where one\u0000single-layer network is connected to another single-layer network through\u0000coupling between replica nodes, i.e. the multiplex network. We show that all\u0000the aspects of the multiplexing impact on wavefront propagation and stochastic\u0000resonance identified in multilayer networks of bistable oscillators are\u0000entirely reproduced in the dynamics of time-delay oscillators. In particular,\u0000varying the coupling strength allows suppressing and enhancing the effect of\u0000stochastic resonance, as well as controlling the speed and direction of both\u0000deterministic and stochastic wavefront propagation. All the considered effects\u0000are studied in numerical simulations and confirmed in physical experiments,\u0000showing an excellent correspondence and disclosing thereby the robustness of\u0000the observed phenomena.","PeriodicalId":501305,"journal":{"name":"arXiv - PHYS - Adaptation and Self-Organizing Systems","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139980217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Observation of a phase transition from a continuous to a discrete time crystal 观察从连续晶体到离散晶体的相变

arXiv - PHYS - Adaptation and Self-Organizing Systems Pub Date : 2024-02-19 DOI: arxiv-2402.12378

Phatthamon Kongkhambut, Jayson G. Cosme, Jim Skulte, Michelle A. Moreno Armijos, Ludwig Mathey, Andreas Hemmerich, Hans Keßler

引用次数: 0

Selective decision making and collective behavior of fish by the motion of visual attention 鱼类视觉注意力运动的选择性决策和集体行为

arXiv - PHYS - Adaptation and Self-Organizing Systems Pub Date : 2024-02-14 DOI: arxiv-2402.09073

Susumu Ito, Nariya Uchida

{"title":"Selective decision making and collective behavior of fish by the motion of visual attention","authors":"Susumu Ito, Nariya Uchida","doi":"arxiv-2402.09073","DOIUrl":"https://doi.org/arxiv-2402.09073","url":null,"abstract":"Collective motion provides a spectacular example of self-organization in\u0000Nature. Visual information plays a crucial role among various types of\u0000information in determining interactions. Recently, experiments have revealed\u0000that organisms such as fish and insects selectively utilize a portion, rather\u0000than the entirety, of visual information. Here, focusing on fish, we propose an\u0000agent-based model where the direction of attention is guided by visual stimuli\u0000received from the images of nearby fish. Our model reproduces a branching\u0000phenomenon where a fish selectively follows a specific individual as the\u0000distance between two or three nearby fish increases. Furthermore, our model\u0000replicates various patterns of collective motion in a group of agents, such as\u0000vortex, polarized school, swarm, and turning. We also discuss the topological\u0000nature of visual interaction, as well as the positional distribution of nearby\u0000fish and the map of pairwise and three-body interactions induced by them.\u0000Through a comprehensive comparison with existing experimental results, we\u0000clarify the roles of visual interactions and issues to be resolved by other\u0000forms of interactions.","PeriodicalId":501305,"journal":{"name":"arXiv - PHYS - Adaptation and Self-Organizing Systems","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139771810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Software in the natural world: A computational approach to emergence in complex multi-level systems 自然界中的软件：复杂多级系统中出现的计算方法

arXiv - PHYS - Adaptation and Self-Organizing Systems Pub Date : 2024-02-14 DOI: arxiv-2402.09090

Fernando E. Rosas, Bernhard C. Geiger, Andrea I Luppi, Anil K. Seth, Daniel Polani, Michael Gastpar, Pedro A. M. Mediano

{"title":"Software in the natural world: A computational approach to emergence in complex multi-level systems","authors":"Fernando E. Rosas, Bernhard C. Geiger, Andrea I Luppi, Anil K. Seth, Daniel Polani, Michael Gastpar, Pedro A. M. Mediano","doi":"arxiv-2402.09090","DOIUrl":"https://doi.org/arxiv-2402.09090","url":null,"abstract":"Understanding the functional architecture of complex systems is crucial to\u0000illuminate their inner workings and enable effective methods for their\u0000prediction and control. Recent advances have introduced tools to characterise\u0000emergent macroscopic levels; however, while these approaches are successful in\u0000identifying when emergence takes place, they are limited in the extent they can\u0000determine how it does. Here we address this limitation by developing a\u0000computational approach to emergence, which characterises macroscopic processes\u0000in terms of their computational capabilities. Concretely, we articulate a view\u0000on emergence based on how software works, which is rooted on a mathematical\u0000formalism that articulates how macroscopic processes can express self-contained\u0000informational, interventional, and computational properties. This framework\u0000establishes a hierarchy of nested self-contained processes that determines what\u0000computations take place at what level, which in turn delineates the functional\u0000architecture of a complex system. This approach is illustrated on paradigmatic\u0000models from the statistical physics and computational neuroscience literature,\u0000which are shown to exhibit macroscopic processes that are akin to software in\u0000human-engineered systems. Overall, this framework enables a deeper\u0000understanding of the multi-level structure of complex systems, revealing\u0000specific ways in which they can be efficiently simulated, predicted, and\u0000controlled.","PeriodicalId":501305,"journal":{"name":"arXiv - PHYS - Adaptation and Self-Organizing Systems","volume":"56 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139771877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Control of seizure-like dynamics in neuronal populations with excitability adaptation related to ketogenic diet 控制与生酮饮食相关的兴奋性适应性神经元群的癫痫样动力学

arXiv - PHYS - Adaptation and Self-Organizing Systems Pub Date : 2024-02-06 DOI: arxiv-2402.04388

Sebastian EydamRIKEN Center for Brain Science, Igor FranovićInstitute of Physics Belgrade, Louis KangRIKEN Center for Brain Science

{"title":"Control of seizure-like dynamics in neuronal populations with excitability adaptation related to ketogenic diet","authors":"Sebastian EydamRIKEN Center for Brain Science, Igor FranovićInstitute of Physics Belgrade, Louis KangRIKEN Center for Brain Science","doi":"arxiv-2402.04388","DOIUrl":"https://doi.org/arxiv-2402.04388","url":null,"abstract":"We consider a heterogeneous, globally coupled population of excitatory\u0000quadratic integrate-and-fire neurons with excitability adaptation due to a\u0000metabolic feedback associated with ketogenic diet, a form of therapy for\u0000epilepsy. Bifurcation analysis of a three-dimensional mean-field system derived\u0000in the framework of next-generation neural mass models allows us to explain the\u0000scenarios and suggest control strategies for the transitions between the\u0000neurophysiologically desired asynchronous states and the synchronous,\u0000seizure-like states featuring collective oscillations. We reveal two\u0000qualitatively different scenarios for the onset of synchrony. For weaker\u0000couplings, a bistability region between the lower- and the higher-activity\u0000asynchronous states unfolds from the cusp point, and the collective\u0000oscillations emerge via a supercritical Hopf bifurcation. For stronger\u0000couplings, one finds seven co-dimension two bifurcation points, including pairs\u0000of Bogdanov-Takens and generalized Hopf points, such that both lower- and\u0000higher-activity asynchronous states undergo transitions to collective\u0000oscillations, with hysteresis and jump-like behavior observed in vicinity of\u0000subcritical Hopf bifurcations. We demonstrate three control mechanisms for\u0000switching between asynchronous and synchronous states, involving parametric\u0000perturbation of the adenosine triphosphate (ATP) production rate, external\u0000stimulation currents, or pulse-like ATP shocks, and indicate a potential\u0000therapeutic advantage of hysteretic scenarios.","PeriodicalId":501305,"journal":{"name":"arXiv - PHYS - Adaptation and Self-Organizing Systems","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139771533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Data-driven reconstruction of limit cycle position provides side information for improved model identification with SINDy 数据驱动的极限周期位置重构为利用 SINDy 改进模型识别提供了侧面信息

arXiv - PHYS - Adaptation and Self-Organizing Systems Pub Date : 2024-02-05 DOI: arxiv-2402.03168

Bartosz Prokop, Nikita Frolov, Lendert Gelens

{"title":"Data-driven reconstruction of limit cycle position provides side information for improved model identification with SINDy","authors":"Bartosz Prokop, Nikita Frolov, Lendert Gelens","doi":"arxiv-2402.03168","DOIUrl":"https://doi.org/arxiv-2402.03168","url":null,"abstract":"Many important systems in nature are characterized by oscillations. To\u0000understand and interpret such behavior, researchers use the language of\u0000mathematical models, often in the form of differential equations. Nowadays,\u0000these equations can be derived using data-driven machine learning approaches,\u0000such as the white-box method 'Sparse Identification of Nonlinear Dynamics'\u0000(SINDy). In this paper, we show that to ensure the identification of sparse and\u0000meaningful models, it is crucial to identify the correct position of the system\u0000limit cycle in phase space. Therefore, we propose how the limit cycle position\u0000and the system's nullclines can be identified by applying SINDy to the data set\u0000with varying offsets, using three model evaluation criteria (complexity,\u0000coefficient of determination, generalization error). We successfully test the\u0000method on an oscillatory FitzHugh-Nagumo model and a more complex model\u0000consisting of two coupled cubic differential equations. Finally, we demonstrate\u0000that using this additional side information on the limit cycle in phase space\u0000can improve the success of model identification efforts in oscillatory systems.","PeriodicalId":501305,"journal":{"name":"arXiv - PHYS - Adaptation and Self-Organizing Systems","volume":"30 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139771532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0