58 citations · 205 across the 15 of their papers we have counts for
15 papers
Emergent learning: neuromorphic photonic computing with accelerated training
Sara Peña-Gutiérrez, Giorgio Gosti, Hongsheng Chen +2
Emergent learning transforms a disordered optical medium into a photonic device capable of storage, recognition, and classification of arbitrary memory patterns. First, we show tha…
A mother-machine microfluidic device for non-adherent mammalian cells reveals the population growth strategies
Simone Scalise, Giovanna Peruzzi, Davide Caprini +3
We develop a mother machine-like microfluidic device specifically designed to track the proliferation of T-cells via live-cell microscopy. Although numerous microfluidic setups hav…
Rosette formations as symmetry-breaking events: theory and experiment
Mattia Miotto, Giorgio Gosti, Maria Rosito +6
Multicellular rosettes are observed in different situations such as morphogenesis, wound healing, and cancer progression. While some molecular insights have been gained to explain…
Robust assessment of asymmetric division in colon cancer cells
Domenico Caudo, Chiara Giannattasio, Simone Scalise +6
Asymmetric partition of fate determinants during cell division is a hallmark of cell differentiation. Recent work suggested that such a mechanism is hijacked by cancer cells to inc…
Probing leukemia cells behavior under starvation
Simone Scalise, Giorgio Gosti, Giancarlo Ruocco +2
The ability of a cancer cell population to achieve heterogeneity in their phenotype distributions offers advantages in tumor invasiveness and drug resistance. Studying the mechanis…
Evidence of Scaling Regimes in the Hopfield Dynamics of Whole Brain Model
Giorgio Gosti, Sauro Succi, Giancarlo Ruocco
It is shown that a Hopfield recurrent neural network exhibits a scaling regime, whose specific exponents depend on the number of parcels used and the decay length of the coupling s…
Photonic Stochastic Emergent Storage: Exploiting Scattering-intrinsic Patterns for Programmable Deep Classification
Marco Leonetti, Giorgio Gosti, Giancarlo Ruocco
Disorder is a pervasive characteristic of natural systems, offering a wealth of non-repeating patterns. In this study, we present a novel storage method that harnesses naturally-oc…
Determining cancer cells division strategy
Mattia Miotto, Simone Scalise, Marco Leonetti +3
Heterogeneity in the size distribution of cancer cell populations has been recently linked to drug resistance and invasiveness. However, despite many progresses have been made in u…
Electrostatic complementarity at the interface drives transient protein-protein interactions
Greta Grassmann, Lorenzo Di Rienzo, Giorgio Gosti +4
Understanding the molecular mechanisms driving the binding between bio-molecules is a crucial challenge in molecular biology. In this respect, characteristics like the preferential…
Prediction of gene expression time series and structural analysis of gene regulatory networks using recurrent neural networks
Michele Monti, Jonathan Fiorentino, Edoardo Milanetti +2
Methods for time series prediction and classification of gene regulatory networks (GRNs) from gene expression data have been treated separately so far. The recent emergence of atte…
New algorithm to determine a minimal representation of the molecular surface
Greta Grassmann, Mattia Miotto, Lorenzo Di Rienzo +3
Most proteins perform their biological function by interacting with one or more molecular partners. In this respect, characterizing the features of the molecular surface, especiall…
Alignment interactions drive structural transitions in biological tissues
Matteo Paoluzzi, Luca Angelani, Giorgio Gosti +3
Experimental evidence shows that there is a feedback between cell shape and cell motion. How this feedback impacts the collective behavior of dense cell monolayers remains an open…
Does blood type affect the COVID-19 infection pattern?
Mattia Miotto, Lorenzo Di Rienzo, Giorgio Gosti +2
Among the many aspects that characterize the COVID-19 pandemic, two seem particularly challenging to understand: (i) the great geographical differences in the degree of virus conta…
In-Silico evidence for two receptors based strategy of SARS-CoV-2
Edoardo Milanetti, Mattia Miotto, Lorenzo Di Rienzo +3
We propose a novel numerical method able to determine efficiently and effectively the relationship of complementarity between portions of proteins surfaces. This innovative and gen…
Effect of dilution in asymmetric recurrent neural networks
Viola Folli, Giorgio Gosti, Marco Leonetti +1
We study with numerical simulation the possible limit behaviors of synchronous discrete-time deterministic recurrent neural networks composed of N binary neurons as a function of a…