1 citations · 1 across the 2 of their papers we have counts for
5 papers
Accessibility of Cortical Regions to Focal TES: Dependence on Spatial Position, Safety, and Practical Constraints
Guilherme Bicalho Saturnino, Hartwig Roman Siebner, Axel Thielscher +1
Transcranial electric stimulation (TES) can modulate intrinsic neural activity in the brain by injecting weak currents through electrodes attached to the scalp. TES has been widely…
Ergodicity-breaking reveals time optimal decision making in humans
David Meder, Finn Rabe, Tobias Morville +5
Ergodicity describes an equivalence between the expectation value and the time average of observables. Applied to human behaviour, ergodic theories of decision-making reveal how in…
Probabilistic PARAFAC2
Philip J. H. Jørgensen, Søren F. V. Nielsen, Jesper L. Hinrich +3
The PARAFAC2 is a multimodal factor analysis model suitable for analyzing multi-way data when one of the modes has incomparable observation units, for example because of difference…
Deep Convolutional Neural Networks for Interpretable Analysis of EEG Sleep Stage Scoring
Albert Vilamala, Kristoffer H. Madsen, Lars K. Hansen
Sleep studies are important for diagnosing sleep disorders such as insomnia, narcolepsy or sleep apnea. They rely on manual scoring of sleep stages from raw polisomnography signals…
Adaptive Smoothing in fMRI Data Processing Neural Networks
Albert Vilamala, Kristoffer Hougaard Madsen, Lars Kai Hansen
Functional Magnetic Resonance Imaging (fMRI) relies on multi-step data processing pipelines to accurately determine brain activity; among them, the crucial step of spatial smoothin…