Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Rico Berner"'
Autor:
Narges Chinichian, Michael Lindner, Serhiy Yanchuk, Tilo Schwalger, Eckehard Schöll, Rico Berner
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Modeling the functionality of the human brain is a major goal in neuroscience for which many powerful methodologies have been developed over the last decade. The impact of working memory and the associated brain regions on the brain dynamics
Externí odkaz:
https://doaj.org/article/547483376f7c460887faaf84b241c72e
Publikováno v:
New Journal of Physics, Vol 26, Iss 11, p 113016 (2024)
Partially synchronized solitary states occur frequently when a synchronized system of networked oscillators with inertia is perturbed locally. Several asymptotic states of different frequencies can coexist at the same node. Here, we reveal the mechan
Externí odkaz:
https://doaj.org/article/4499f228824046c3982288ea1b4ba171
Autor:
Rico Berner, Serhiy Yanchuk
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 7 (2021)
This work introduces a methodology for studying synchronization in adaptive networks with heterogeneous plasticity (adaptation) rules. As a paradigmatic model, we consider a network of adaptively coupled phase oscillators with distance-dependent adap
Externí odkaz:
https://doaj.org/article/4ceb514841324e13a7e862f2ce8d363b
Publikováno v:
PLoS ONE, Vol 14, Iss 11, p e0225094 (2019)
We report the phenomenon of frequency clustering in a network of Hodgkin-Huxley neurons with spike timing-dependent plasticity. The clustering leads to a splitting of a neural population into a few groups synchronized at different frequencies. In thi
Externí odkaz:
https://doaj.org/article/6f208d6c009a4b5d94833bf49536a55f
Rhythmic activities that alternate between coherent and incoherent phases are ubiquitous in chemical, ecological, climate, or neural systems. Despite their importance, general mechanisms for their emergence are little understood. In order to fill thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9227e1621c03f69b1b4c1faf05ecbcd9
Autor:
S. Thamizharasan, V. K. Chandrasekar, M. Senthilvelan, Rico Berner, Eckehard Schöll, D. V. Senthilkumar
Publikováno v:
Physical Review E. 105
We consider an adaptive network, whose connection weights co-evolve in congruence with the dynamical states of the local nodes that are under the influence of an external stimulus. The adaptive dynamical system mimics the adaptive synaptic connection
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4ce7f40e68d9df7adab823304ab13ea
https://doi.org/10.1103/physreve.105.034312
https://doi.org/10.1103/physreve.105.034312
We study the collective dynamics in a population of excitable units (neurons) adaptively interacting with a pool of resources. The resource pool is influenced by the average activity of the population, whereas the feedback from the resources to the p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::170c95ddac30f4c110a30a24be59b2a5
Autor:
Jan Fialkowski, Serhiy Yanchuk, Igor M. Sokolov, Eckehard Schöll, Georg A. Gottwald, Rico Berner
Phase transitions in equilibrium and nonequilibrium systems play a major role in the natural sciences. In dynamical networks, phase transitions organize qualitative changes in the collective behavior of coupled dynamical units. Adaptive dynamical net
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9459d2816b1a9498c9332645df93ce2
Publikováno v:
SIAM Journal on Applied Dynamical Systems. 18:2227-2266
Dynamical systems on networks with adaptive couplings appear naturally in real-world systems such as power grid networks, social networks, and neuronal networks. We investigate a paradigmatic syste...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7faba9ec73c9661d8f2881a044d3cccf
https://doi.org/10.1137/18m1210150
https://doi.org/10.1137/18m1210150
First Published in SIAM Journal on Applied Dynamical Systems in Volume 20, Issue 4 (2021), published by the Society for Industrial and Applied Mathematics (SIAM).Copyright © by SIAM. Unauthorized reproduction of this article is prohibited. Multiplex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a047e0da1376a3ca09eb9b45ba39f442
http://arxiv.org/abs/2103.10373
http://arxiv.org/abs/2103.10373