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pro vyhledávání: '"STARKE, JENS"'
This paper presents a framework to perform bifurcation analysis in laboratory experiments or simulations. We employ control-based continuation to study the dynamics of a macroscopic variable of a microscopically defined model, exploring the potential
Externí odkaz:
http://arxiv.org/abs/2203.02484
Autor:
Spiliotis, Konstantinos, Koutsoumaris, Constantinos Chr., Reppas, Andreas, Starke, Jens, Hatzikirou, Haralampos
Non-pharmacological interventions (NPIs), and in particular social distancing, in conjunction with the advent of effective vaccines at the end of 2020, aspired for the development of a protective immunity shield against the spread of SARS-CoV-2. The
Externí odkaz:
http://arxiv.org/abs/2109.12706
Autor:
Spiliotis, Konstantinos, Kahramanoglou, Giannis, Starke, Jens, Smyrnis, Nikolaos, Siettos, Constantinos
We address a biophysical network dynamical model to study how the modulation of dopamine (DA) activity and related N-methyl-d-aspartate (NMDA) glutamate receptor activity as well as the emerging Pre-Frontal Cortex (PFC) functional connectivity networ
Externí odkaz:
http://arxiv.org/abs/2107.09360
A large scale computational model of the basal ganglia (BG) network is proposed to describes movement disorder including deep brain stimulation (DBS). The model of this complex network considers four areas of the basal ganglia network: the subthalami
Externí odkaz:
http://arxiv.org/abs/2010.07162
Publikováno v:
In Games and Economic Behavior November 2023 142:339-356
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Akademický článek
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A common approach to studying high-dimensional systems with emergent low-dimensional behavior is based on lift-evolve-restrict maps (called equation-free methods): first, a user-defined lifting operator maps a set of low-dimensional coordinates into
Externí odkaz:
http://arxiv.org/abs/1701.08999
Publikováno v:
Frontiers in Network Physiology; 2024, p1-12, 12p
Equation-free methods make possible an analysis of the evolution of a few coarse-grained or macroscopic quantities for a detailed and realistic model with a large number of fine-grained or microscopic variables, even though no equations are explicitl
Externí odkaz:
http://arxiv.org/abs/1402.0314