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UID:7007@i2m.univ-amu.fr
DTSTART;TZID=Europe/Paris:20190617T110000
DTEND;TZID=Europe/Paris:20190617T120000
DTSTAMP:20241120T202646Z
URL:https://www.i2m.univ-amu.fr/evenements/network-synchronisation-with-ti
 me-varying-parameters-maxime-lucas/
SUMMARY:Maxime Lucas (LS2N\, Université de Nantes): Network synchronisatio
 n with time-varying parameters - Maxime Lucas
DESCRIPTION:Maxime Lucas: Many systems in nature\, especially living system
 s\, can be modelled as a collection of interacting oscillators. Such syste
 ms can exhibit a plethora of behaviours\, amongst which synchronisation\, 
 a state of maximal coherence\, is of crucial importance. Indeed\, the sync
 hronisation of the beat of heart cells is as necessary as the synchronisat
 ion of neurons can be a bad pre-seizure sign. So far\, ensembles of oscill
 ators have been studied mostly as closed systems so that all parameters su
 ch as coupling or frequencies are constant. Very often\, however\, living 
 systems are open and under the non-negligible influence of their environme
 nt\, which is in general varying with time. This in turn influence interna
 l parameters of the systems: the frequency of our heartbeat is far from co
 nstant\, for example. Here\, we include time-variability in our mode\, and
  see the effect it has on the dynamics and its stability.\n\nHere\, we wil
 l see how time-variability can benefit or reduce stability in two scenario
 s: a temporal network (time-varying topology)\, and a network driven by an
  external oscillator with a time-varying frequency. We will discuss how\, 
 in the first case\, synchronization is negatively affected\, but that the 
 region of synchronization is enlarged in the second case. Moreover\, we wi
 ll discuss the importance of looking into the dynamics of such systems at 
 both short and long timescales. Time-varying features in models of living 
 systems can bring us closer to realistic models\, and allow us to reveal r
 icher dynamics resulting from it.
ATTACH;FMTTYPE=image/jpeg:https://www.i2m.univ-amu.fr/wp-content/uploads/2
 019/06/Maxime_Lucas.jpg
CATEGORIES:Séminaire,MABioS
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DTSTART:20190331T030000
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