From the 1 of 16 linked papers with an AI index.
1 citations · 1 across the 7 of their papers we have counts for
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Learning in Wilson-Cowan model for metapopulation
Raffaele Marino, Lorenzo Buffoni, Lorenzo Chicchi +4
The Wilson-Cowan model for metapopulation, a Neural Mass Network Model, treats different subcortical regions of the brain as connected nodes, with connections representing various…
Charging a quantum spin network towards Heisenberg-limited precision
Beatrice Donelli, Stefano Gherardini, Raffaele Marino +2
We present a cooperative protocol to charge quantum spin networks up to the highest-energy configuration, in terms of the network's magnetization. The charging protocol leverages s…
Deterministic versus stochastic dynamical classifiers: opposing random adversarial attacks with noise
Lorenzo Chicchi, Duccio Fanelli, Diego Febbe +4
The Continuous-Variable Firing Rate (CVFR) model, widely used in neuroscience to describe the intertangled dynamics of excitatory biological neurons, is here trained and tested as…
Collective preparation of large quantum registers with high fidelity
Lorenzo Buffoni, Michele Campisi
We report on the preparation of a large quantum register of 5612 qubits, with the unprecedented high global fidelity of . This was achieved by applying an improved…
Engineered Ordinary Differential Equations as Classification Algorithm (EODECA): thorough characterization and testing
Raffaele Marino, Lorenzo Buffoni, Lorenzo Chicchi +2
EODECA (Engineered Ordinary Differential Equations as Classification Algorithm) is a novel approach at the intersection of machine learning and dynamical systems theory, presenting…
Stable Attractors for Neural networks classification via Ordinary Differential Equations (SA-nODE)
Raffaele Marino, Lorenzo Giambagli, Lorenzo Chicchi +2
A novel approach for supervised classification is presented which sits at the intersection of machine learning and dynamical systems theory. At variance with other methodologies th…