Publications associées à Opérateur retard

Sparse autoregressive neural networks for classical spin systems

Efficient sampling and approximation of Boltzmann distributions involving large sets of binary variables, or spins, are pivotal in diverse scientific fields even beyond physics. Recent advances in generative neural networks have significantly impacted this ...

Iop Publishing Ltd2024

Thermodynamic bounds on time-reversal asymmetry

Shiling Liang

Quantifying irreversibility of a system using finite information constitutes a major challenge in stochastic thermodynamics. We introduce an observable that measures the time-reversal asymmetry between two states after a given time lag. Our central result ...

Amer Physical Soc2023

Daily Contributors of Tinnitus Loudness and Distress: An Ecological Momentary Assessment Study

Patrick Karl Alois Neff

BackgroundTinnitus is a heterogeneous condition which may be associated with moderate to severe disability, but the reasons why only a subset of individuals is burdened by the condition are not fully clear. Ecological momentary assessment (EMA) allows a be ...

FRONTIERS MEDIA SA2022

Measurement of forward top pair production in the dilepton channel in pp collisions at root s=13 TeV

Olivier Schneider, Guido Haefeli, Yiming Li, Christoph Frei, Aurelio Bay, Tatsuya Nakada, Michel De Cian, Frédéric Blanc, Luca Pescatore, François Fleuret, Chitsanu Khurewathanakul, Alessio Ferrari, Basile Schäli, Matthieu Philippe Luther Marinangeli, Elena Graverini, Jessica Prisciandaro, Mark Tobin, Renato Quagliani, Greig Alan Cowan, Federico Betti, Vladislav Balagura, Pietro Marino, Aravindhan Venkateswaran, Mirco Dorigo, Luis Miguel Garcia Martin, Sebastiana Gianì, Vitalii Lisovskyi, Jian Wang, Federico Leo Redi, Maxime Schubiger, Zhirui Xu, Guido Andreassi, Yi Zhang, Violaine Bellée, Lei Zhang, Preema Rennee Pais, Pavol Stefko, Tommaso Colombo, Minh Tâm Tran, Vladimir Macko, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,

Recovery of the default mode network after demanding neurofeedback training occurs in spatio-temporally segregated subnetworks

Dimitri Nestor Alice Van De Ville, Rotem Roza Kopel

The default mode (DM) network is a major large-scale cerebral network that can be identified with functional magnetic resonance imaging (fMRI) during resting state. Most studies consider functional connectivity networks as stationary phenomena. Consequentl ...

Elsevier2012