72 citations · 107 across the 10 of their papers we have counts for
10 papers
Numerical Bifurcation Analysis of Turing and Symmetry Broken Patterns of a Vegetation PDE Model
Konstantinos Spiliotis, Lucia Russo, Francesco Giannino +1
We study the mechanisms of pattern formation for vegetation dynamics in water-limited regions. Our analysis is based on a set of two partial differential equations (PDEs) of reacti…
Optimal vaccine roll-out strategies with respect to social distancing measures for SARS-CoV-2 pandemic
Konstantinos Spiliotis, Constantinos Chr. Koutsoumaris, Andreas Reppas +2
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…
A biophysical network model reveals the link between deficient inhibitory cognitive control and major neurotransmitter and neural connectivity hypotheses in schizophrenia
Konstantinos Spiliotis, Giannis Kahramanoglou, Jens Starke +2
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 a…
Deep brain stimulation for movement disorder treatment: Exploring frequency-dependent efficacy in a computational network model
Konstantinos Spiliotis, Jens Starke, Denise Franz +2
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 net…
Analytical and Numerical Bifurcation Analysis of a Forest-Grassland Ecosystem Model with Human Interaction
Konstantinos Spiliotis, Lucia Russo, Francesco Giannino +1
We perform both analytical and numerical bifurcation analysis of a forest-grassland ecosystem model coupled with human interaction. The model consists of two nonlinear ordinary dif…
Coarse-scale PDEs from fine-scale observations via machine learning
Seungjoon Lee, Mahdi Kooshkbaghi, Konstantinos Spiliotis +2
Complex spatiotemporal dynamics of physicochemical processes are often modeled at a microscopic level (through e.g. atomistic, agent-based or lattice models) based on first princip…
Tuning the average path length of complex networks and its influence to the emergent dynamics of the majority-rule model
Andreas I. Reppas, Konstantinos Spiliotis, Constantinos I. Siettos
We show how appropriate rewiring with the aid of Metropolis Monte Carlo computational experiments can be exploited to create network topologies possessing prescribed values of the…
On the effect of the path length and transitivity of small-world networks on epidemic dynamics
Andreas I. Reppas, Konstantinos Spiliotis, Constantinos Siettos
We show how one can trace in a systematic way the coarse-grained solutions of individual-based stochastic epidemic models evolving on heterogeneous complex networks with respect to…
Coarse-Grained Analysis of Microscopic Neuronal Simulators on Networks: Bifurcation and Rare-events computations
Konstantinos G. Spiliotis, Constantinos I. Siettos
We show how the Equation-Free approach for mutliscale computations can be exploited to extract, in a computational strict and systematic way the emergent dynamical attributes, from…
Multiscale Computations on Neural Networks: From the Individual Neuron Interactions to the Macroscopic-Level Analysis
Konstantinos G. Spiliotis, Constantinos I. Siettos
We show how the Equation-Free approach for multi-scale computations can be exploited to systematically study the dynamics of neural interactions on a random regular connected graph…