252 citations · 301 across the 17 of their papers we have counts for
18 papers
Density-dependent growth emerges from Bayesian adaptation of phenotype
Manish Kumar Gupta, Arnab Barua, Haralampos Hatzikirou
Classical models often describe early tumor expansion as exponential growth, yet experimental and clinical evidence shows that tumor populations can deviate systematically from thi…
Phase space integrity in neural network models of Hamiltonian dynamics: A Lagrangian descriptor approach
Abrari Noor Hasmi, Haralampos Hatzikirou, Hadi Susanto
We propose Lagrangian Descriptors (LDs) as a diagnostic framework for evaluating neural network models of Hamiltonian systems beyond conventional trajectory-based metrics. Standard…
Data-driven macroscopic dynamics of complex networks using Topological Data Analysis and the Equation-Free Method
Konstantinos Spiliotis, Ole Sönnerborn, Haralampos Hatzikirou +1
In this work, we present a computational framework for exploring and analyzing the macroscopic dynamics of complex agent-based network models by integrating Topological Data Analys…
Individual particle persistence antagonizes global ordering in populations of nematically-aligning self-propelled particles
Josué Manik Nava-Sedeño, Rainer Klages, Haralampos Hatzikirou +1
The transition from individual to collective motion plays a significant role in many biological processes. While the implications of different types of particle-particle interactio…
A finite difference method with symmetry properties for the high-dimensional Bratu equation
Muhammad Luthfi Shahab, Hadi Susanto, Haralampos Hatzikirou
Solving the three-dimensional (3D) Bratu equation is highly challenging due to the presence of multiple and sharp solutions. Research on this equation began in the late 1990s, but…
Entropy-driven decision-making dynamics sheds light on the emergence of the "paradox of choice"
Manish Gupta, Arnab Barua, Haralampos Hatzikirou
Decision making is the cognitive process of selecting a course of action among multiple alternatives. As the decision maker belongs to a complex microenvironment (which contains mu…
Vectorial active matter on the lattice: polar condensates and nematic filaments
Josué Manik Nava-Sedeño, Haralampos Hatzikirou, Anja Voß-Böhme +3
We introduce a novel lattice-gas cellular automaton (LGCA) for compressible vectorial active matter with polar and nematic velocity alignment. Interactions are, by construction, ze…
Geodesic learning
Arnab Barua, Haralampos Hatzikirou, Sumiyoshi Abe
Learning is a fundamental characteristic of living systems, enabling them to comprehend their environments and make informed decisions. These decision-making processes are inherent…
Informational Rescaling of PCA Maps with Application to Genetic Distance
Nassim Nicholas Taleb, Pierre Zalloua, Khaled Elbassioni +2
We discuss the inadequacy of covariances/correlations and other measures in L2 as relative distance metrics under some conditions. We propose a computationally simple heuristic to…
Cell decision-making through the lens of Bayesian learning
Arnab Barua, Haralampos Hatzikirou
Cell decision-making refers to the process by which cells gather information from their local microenvironment and regulate their internal states to create appropriate responses. M…
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…
Inferring the effect of interventions on COVID-19 transmission networks
Simon Syga, Diana David-Rus, Yannik Schälte +3
Countries around the world implement nonpharmaceutical interventions (NPIs) to mitigate the spread of COVID-19. Design of efficient NPIs requires identification of the structure of…
Entropy-driven cell-decision making predicts fluid-to-solid transition in multicellular systems
Arnab Barua, Simon Syga, Pietro Mascheroni +4
Cellular decision making allows cells to assume functionally different phenotypes in response to microenvironmental cues, without genetic change. It is an open question, how indivi…
Cellular automaton models for time-correlated random walks: derivation and analysis
J. M. Nava-Sedeno, H. Hatzikirou, R. Klages +1
Many diffusion processes in nature and society were found to be anomalous, in the sense of being fundamentally different from conventional Brownian motion. An important example is…
Why one-size-fits-all vaso-modulatory interventions fail to control glioma invasion: in silico insights
J. C. L. Alfonso, A. Kohn-Luque, T. Stylianopoulos +3
There is an ongoing debate on the therapeutic potential of vaso-modulatory interventions against glioma invasion. Prominent vasculature-targeting therapies involve functional tumou…
In silico tumor control induced via alternating immunostimulating and immunosuppressive phases
A. I. Reppas, J. C. L. Alfonso, H. Hatzikirou
Despite recent advances in the field of Oncoimmunology, the success potential of immunomodulatory therapies against cancer remains to be elucidated. One of the reasons is the lack…
Cancer therapeutic potential of combinatorial immuno- and vaso-modulatory interventions
H. Hatzikirou, J. C. L. Alfonso, S. Muhle +3
Currently, most of the basic mechanisms governing tumor-immune system interactions, in combination with modulations of tumor-associated vasculature, are far from being completely u…
Avian photoreceptor patterns represent a disordered hyperuniform solution to a multiscale packing problem
Yang Jiao, Timothy Lau, Haralampos Hatzikirou +3
Optimal spatial sampling of light rigorously requires that identical photoreceptors be arranged in perfectly regular arrays in two dimensions. Examples of such perfect arrays in na…