4 papers
The bliss of dimensionality: how an unsupervised criterion identifies optimal low-resolution representations of high-dimensional datasets
Margherita Mele, Daniel Campos Moreno, Raffaello Potestio
Selecting the optimal resolution for discretizing high-dimensional data is a central problem in physics and data analysis, particularly in unsupervised settings where the underlyin…
Artificial life of an active droplets system: a quantitative lifecycle analysis
Matteo Scandola, Silvia Holler, Richard J. G. Loeffler +3
The study of synthetic active matter systems holds the promise for designing smart materials and devices with emergent characteristics akin to those of living organisms, eventually…
Determining the optimal structural resolution of proteins through an information-theoretic analysis of their conformational ensemble
Margherita Mele, Raffaele Fiorentini, Thomas Tarenzi +2
The choice of structural resolution is a fundamental aspect of protein modelling, determining the balance between descriptive power and interpretability. Although atomistic simulat…
Low-resolution descriptions of model neural activity reveal hidden features and underlying system properties
Riccardo Aldrigo, Roberto Menichetti, Raffaello Potestio
The analysis of complex systems such as neural networks is made particularly difficult by the overwhelming number of their interacting components. In the absence of prior knowledge…