dc.contributor.author | Pazó Bueno, Diego Santiago | |
dc.contributor.author | Gallego Ámez, Rafael | |
dc.contributor.other | Universidad de Cantabria | es_ES |
dc.date.accessioned | 2024-01-17T13:31:25Z | |
dc.date.available | 2024-01-17T13:31:25Z | |
dc.date.issued | 2023 | |
dc.identifier.issn | 1539-3755 | |
dc.identifier.issn | 1550-2376 | |
dc.identifier.issn | 2470-0045 | |
dc.identifier.issn | 2470-0053 | |
dc.identifier.other | PID2021-125543NB-I00 | |
dc.identifier.uri | https://hdl.handle.net/10902/31113 | |
dc.description.abstract | Populations of heterogeneous phase oscillators with frustrated random interactions exhibit a quasiglassy state in which the distribution of local fields is volcanoshaped. In a recent work [Phys. Rev. Lett. 120, 264102 (2018)], the volcano transition was replicated in a solvable model using a low-rank, random coupling matrix M. We extend here that model including tunable nonreciprocal interactions, i.e., Mt ≠M. More specifically, we formulate two different solvable models. In both of them the volcano transition persists if matrix elements Mjk and Mkj are enough correlated. Our numerical simulations fully confirm the analytical results. To put our work in a wider context, we also investigate numerically the volcano transition in the analogous model with a full-rank random coupling matrix. | es_ES |
dc.description.sponsorship | We acknowledge support by Grant No. PID2021-125543NB-I00, funded by MCIN/AEI/10.13039/501100011033 and by ERDF A way of making Europe | es_ES |
dc.format.extent | 8 p. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | American Physical Society | es_ES |
dc.rights | © American Physical Society | es_ES |
dc.source | Physical Review E, 2023, 108, 014202 | es_ES |
dc.title | Volcano transition in populations of phase oscillators with random nonreciprocal interactions | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.relation.publisherVersion | https://doi.org/10.1103/PhysRevE.108.014202 | es_ES |
dc.rights.accessRights | openAccess | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-125543NB-I00/ES/REDES DE MODELOS DE NEURONAS CON DESORDEN: CONECTANDO LAS ESCALAS MICRO, MESO Y MACRO./ | es_ES |
dc.identifier.DOI | 10.1103/PhysRevE.108.014202 | |
dc.type.version | publishedVersion | es_ES |