Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Halgurd Taher"'
Autor:
Moritz Gerster, Halgurd Taher, Antonín Škoch, Jaroslav Hlinka, Maxime Guye, Fabrice Bartolomei, Viktor Jirsa, Anna Zakharova, Simona Olmi
Publikováno v:
Frontiers in Systems Neuroscience, Vol 15 (2021)
Dynamics underlying epileptic seizures span multiple scales in space and time, therefore, understanding seizure mechanisms requires identifying the relations between seizure components within and across these scales, together with the analysis of the
Externí odkaz:
https://doaj.org/article/daf217036e094e129b1fd5ee3c82accc
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 12, p e1008533 (2020)
A synaptic theory of Working Memory (WM) has been developed in the last decade as a possible alternative to the persistent spiking paradigm. In this context, we have developed a neural mass model able to reproduce exactly the dynamics of heterogeneou
Externí odkaz:
https://doaj.org/article/1850e459ed8d4e4bb981b54dc34e56ab
Publikováno v:
Taher, H, Avitabile, D & Desroches, M 2022, ' Bursting in a next generation neural mass model with synaptic dynamics: a slow–fast approach ', Nonlinear Dynamics, vol. 108, no. 4, pp. 4261-4285 . https://doi.org/10.1007/s11071-022-07406-6
Nonlinear Dynamics
Nonlinear Dynamics, 2022, ⟨10.1007/s11071-022-07406-6⟩
Nonlinear Dynamics, 108(4), 4261-4285. Springer Netherlands
Nonlinear Dynamics
Nonlinear Dynamics, 2022, ⟨10.1007/s11071-022-07406-6⟩
Nonlinear Dynamics, 108(4), 4261-4285. Springer Netherlands
We report a detailed analysis on the emergence of bursting in a recently developed neural mass model that includes short-term synaptic plasticity. Neural mass models can mimic the collective dynamics of large-scale neuronal populations in terms of a
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Public Library of Science, 2020, 16 (12), pp.e1008533. ⟨10.1371/journal.pcbi.1008533⟩
PLoS Computational Biology, Vol 16, Iss 12, p e1008533 (2020)
PLoS Computational Biology, 2020, 16 (12), pp.e1008533. ⟨10.1371/journal.pcbi.1008533⟩
PLoS Computational Biology, Public Library of Science, 2020, 16 (12), pp.e1008533. ⟨10.1371/journal.pcbi.1008533⟩
PLoS Computational Biology, Vol 16, Iss 12, p e1008533 (2020)
PLoS Computational Biology, 2020, 16 (12), pp.e1008533. ⟨10.1371/journal.pcbi.1008533⟩
A synaptic theory of Working Memory (WM) has been developed in the last decade as a possible alternative to the persistent spiking paradigm. In this context, we have developed a neural mass model able to reproduce exactly the dynamics of heterogeneou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfcb52bb6deff9410c1c7d2dfb1d23e6
https://hal.inria.fr/hal-02972545v2/document
https://hal.inria.fr/hal-02972545v2/document
Publikováno v:
ECC 2020-European Control Conference
ECC 2020-European Control Conference, May 2020, Saint Petersburg, Russia. pp.1981-1986, ⟨10.23919/ECC51009.2020.9143594⟩
ECC
ECC 2020-European Control Conference, May 2020, Saint Petersburg, Russia. pp.1981-1986, ⟨10.23919/ECC51009.2020.9143594⟩
ECC
International audience; Effective upon acceptance for publication, copyright (including all rights hereunder and the right to obtain copyright registration in the name of the copyright owner), the above article is hereby transferred throughout the wo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c766b1225786da1ab663e4924c4bc30a
https://inria.hal.science/hal-02972574
https://inria.hal.science/hal-02972574
Publikováno v:
Physical review. E
info:cnr-pdr/source/autori:Halgurd Taher, Simona Olmi, Eckehard Schöll/titolo:Enhancing power grid synchronization and stability through time delayed feedback control/doi:10.1103%2FPhysRevE.100.062306/rivista:Physical review. E (Print)/anno:2019/pagina_da:062306-1/pagina_a:062306-15/intervallo_pagine:062306-1–062306-15/volume:100
Physical Review E : Statistical, Nonlinear, and Soft Matter Physics
Physical Review E : Statistical, Nonlinear, and Soft Matter Physics, 2019, 100, pp.062306. ⟨10.1103/PhysRevE.100.062306⟩
Physical Review E : Statistical, Nonlinear, and Soft Matter Physics, American Physical Society, 2019, 100, pp.062306. ⟨10.1103/PhysRevE.100.062306⟩
info:cnr-pdr/source/autori:Halgurd Taher, Simona Olmi, Eckehard Schöll/titolo:Enhancing power grid synchronization and stability through time delayed feedback control/doi:10.1103%2FPhysRevE.100.062306/rivista:Physical review. E (Print)/anno:2019/pagina_da:062306-1/pagina_a:062306-15/intervallo_pagine:062306-1–062306-15/volume:100
Physical Review E : Statistical, Nonlinear, and Soft Matter Physics
Physical Review E : Statistical, Nonlinear, and Soft Matter Physics, 2019, 100, pp.062306. ⟨10.1103/PhysRevE.100.062306⟩
Physical Review E : Statistical, Nonlinear, and Soft Matter Physics, American Physical Society, 2019, 100, pp.062306. ⟨10.1103/PhysRevE.100.062306⟩
We study the synchronization and stability of power grids within the Kuramoto phase oscillator model with inertia with a bimodal natural frequency distribution representing the generators and the loads. The Kuramoto model describes the dynamics of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08cd0b28d250f810591beca3410553a0