Year: 2021

ProgressClub: On the application of error-related potentials

Posted on By aline No Comments on ProgressClub: On the application of error-related potentials
progress club

Error-related potentials are the neural signature of the error processing in the brain. These event-related potentials can be measured via Electroencephalography (EEG) and are present upon both self-made as well as other’s errors. In our project we are interested in the applications of such signals in brain-computer interfaces. Presented on 03.03.2021 (Aline Xavier Fidêncio) Links: … Read More “ProgressClub: On the application of error-related potentials” »

JournalClub: Physics-enhanced neural networks learn order and chaos

Posted on By jannis No Comments on JournalClub: Physics-enhanced neural networks learn order and chaos
journal club, teaching

Artificial neural networks are universal function approximators. They can forecast dynamics, but they may need impractically many neurons to do so, especially if the dynamics is chaotic. We use neural networks that incorporate Hamiltonian dynamics to efficiently learn phase space orbits even as nonlinear systems transition from order to chaos. We demonstrate Hamiltonian neural networks … Read More “JournalClub: Physics-enhanced neural networks learn order and chaos” »