Inference performance for a system of two phase oscillators: Winfree model.
<p>(a): Mean and standard deviation of the relative bias of the inferred coupling strength. The cyan and magenta solid lines represent the performance of the proposed method and the naive methods, respectively. (b) and (c): Phase time series obtained from the weak (b) and moderate (c) coupling...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| مؤلفون آخرون: | , |
| منشور في: |
2025
|
| الموضوعات: | |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
| _version_ | 1852016724464893952 |
|---|---|
| author | Akari Matsuki (22231882) |
| author2 | Hiroshi Kori (131680) Ryota Kobayashi (1427098) |
| author2_role | author author |
| author_facet | Akari Matsuki (22231882) Hiroshi Kori (131680) Ryota Kobayashi (1427098) |
| author_role | author |
| dc.creator.none.fl_str_mv | Akari Matsuki (22231882) Hiroshi Kori (131680) Ryota Kobayashi (1427098) |
| dc.date.none.fl_str_mv | 2025-09-11T17:23:58Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pcsy.0000063.g003 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Inference_performance_for_a_system_of_two_phase_oscillators_Winfree_model_/30105334 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biochemistry Neuroscience Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified xlink "> synchronization synchronization strongly depends may seem counterintuitive phase reduction theory control synchronization dynamics weakly coupled oscillators proposed method discards network inference applicable coupled oscillators proposed method established theory desynchronized oscillators cycle oscillators world systems wider class time series simulated data remains challenging previous studies oscillatory systems observed data network plays network inference method expands mathematically described large part interaction network desynchronous systems data used crucial role asynchronous systems |
| dc.title.none.fl_str_mv | Inference performance for a system of two phase oscillators: Winfree model. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>(a): Mean and standard deviation of the relative bias of the inferred coupling strength. The cyan and magenta solid lines represent the performance of the proposed method and the naive methods, respectively. (b) and (c): Phase time series obtained from the weak (b) and moderate (c) coupling strengths. Note that the natural frequency component is substracted from the phase . Black and gray lines represent the phase of the Winfree model (<a href="https://journals.plos.org/complexsystems//article/info:doi/10.1371/journal.pcsy.0000063#pcsy.0000063.e095" target="_blank">Eqs 11</a> and <a href="https://journals.plos.org/complexsystems//article/info:doi/10.1371/journal.pcsy.0000063#pcsy.0000063.e096" target="_blank">12</a>) and its avegared model (<a href="https://journals.plos.org/complexsystems//article/info:doi/10.1371/journal.pcsy.0000063#pcsy.0000063.e056" target="_blank">Eqs 7</a> and <a href="https://journals.plos.org/complexsystems//article/info:doi/10.1371/journal.pcsy.0000063#pcsy.0000063.e057" target="_blank">8</a>), respectively. Model parameters are set as , and the coupling strength <i>c</i> = 0.02 (b) and 0.15 (c).</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_35dbe9dadefcfaeff2e8bd5f7a617818 |
| identifier_str_mv | 10.1371/journal.pcsy.0000063.g003 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/30105334 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Inference performance for a system of two phase oscillators: Winfree model.Akari Matsuki (22231882)Hiroshi Kori (131680)Ryota Kobayashi (1427098)BiochemistryNeuroscienceBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedxlink "> synchronizationsynchronization strongly dependsmay seem counterintuitivephase reduction theorycontrol synchronization dynamicsweakly coupled oscillatorsproposed method discardsnetwork inference applicablecoupled oscillatorsproposed methodestablished theorydesynchronized oscillatorscycle oscillatorsworld systemswider classtime seriessimulated dataremains challengingprevious studiesoscillatory systemsobserved datanetwork playsnetwork inferencemethod expandsmathematically describedlarge partinteraction networkdesynchronous systemsdata usedcrucial roleasynchronous systems<p>(a): Mean and standard deviation of the relative bias of the inferred coupling strength. The cyan and magenta solid lines represent the performance of the proposed method and the naive methods, respectively. (b) and (c): Phase time series obtained from the weak (b) and moderate (c) coupling strengths. Note that the natural frequency component is substracted from the phase . Black and gray lines represent the phase of the Winfree model (<a href="https://journals.plos.org/complexsystems//article/info:doi/10.1371/journal.pcsy.0000063#pcsy.0000063.e095" target="_blank">Eqs 11</a> and <a href="https://journals.plos.org/complexsystems//article/info:doi/10.1371/journal.pcsy.0000063#pcsy.0000063.e096" target="_blank">12</a>) and its avegared model (<a href="https://journals.plos.org/complexsystems//article/info:doi/10.1371/journal.pcsy.0000063#pcsy.0000063.e056" target="_blank">Eqs 7</a> and <a href="https://journals.plos.org/complexsystems//article/info:doi/10.1371/journal.pcsy.0000063#pcsy.0000063.e057" target="_blank">8</a>), respectively. Model parameters are set as , and the coupling strength <i>c</i> = 0.02 (b) and 0.15 (c).</p>2025-09-11T17:23:58ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pcsy.0000063.g003https://figshare.com/articles/figure/Inference_performance_for_a_system_of_two_phase_oscillators_Winfree_model_/30105334CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/301053342025-09-11T17:23:58Z |
| spellingShingle | Inference performance for a system of two phase oscillators: Winfree model. Akari Matsuki (22231882) Biochemistry Neuroscience Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified xlink "> synchronization synchronization strongly depends may seem counterintuitive phase reduction theory control synchronization dynamics weakly coupled oscillators proposed method discards network inference applicable coupled oscillators proposed method established theory desynchronized oscillators cycle oscillators world systems wider class time series simulated data remains challenging previous studies oscillatory systems observed data network plays network inference method expands mathematically described large part interaction network desynchronous systems data used crucial role asynchronous systems |
| status_str | publishedVersion |
| title | Inference performance for a system of two phase oscillators: Winfree model. |
| title_full | Inference performance for a system of two phase oscillators: Winfree model. |
| title_fullStr | Inference performance for a system of two phase oscillators: Winfree model. |
| title_full_unstemmed | Inference performance for a system of two phase oscillators: Winfree model. |
| title_short | Inference performance for a system of two phase oscillators: Winfree model. |
| title_sort | Inference performance for a system of two phase oscillators: Winfree model. |
| topic | Biochemistry Neuroscience Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified xlink "> synchronization synchronization strongly depends may seem counterintuitive phase reduction theory control synchronization dynamics weakly coupled oscillators proposed method discards network inference applicable coupled oscillators proposed method established theory desynchronized oscillators cycle oscillators world systems wider class time series simulated data remains challenging previous studies oscillatory systems observed data network plays network inference method expands mathematically described large part interaction network desynchronous systems data used crucial role asynchronous systems |