Katharina Duecker

The paper updates the Human Neocortical Neurosolver model to include biophysically realistic dynamics in human neurons, enabling better interpretation of EEG/MEG signals.

This paper demonstrates how physics-based neural simulations can interpret EEG biomarkers of neurotherapeutics by connecting localized EEG signals to multi-scale neural generators.

This paper evaluates the universality and reliability of a spectrolaminar motif in primate neocortex, finding it not universal and methods unreliable.

This study shows rhythmic light stimulation elicits multiple neural responses at different frequencies that separately affect perception, with implications for neuromodulatory techniques.

This study shows higher baseline alpha power is linked to faster visual search performance, challenging the idea that alpha oscillations reduce visual processing.

The paper shows that guided visual search enhances neuronal excitability to target features and reduces it to distractors in early visual cortex using MEG and RIFT.

This paper introduces an artificial neural network with oscillatory dynamics to convert simultaneous inputs into a temporal code, improving classification of competing stimuli.

This study investigates whether endogenous gamma oscillations in the human visual cortex can be entrained by high-frequency visual flicker, finding no evidence of entrainment and instead showing coexistence of flicker responses and gamma oscillations.

This study uses broadband visual flicker and MEG to reveal gamma band echo in the visual cortex, showing subject-specific dynamics and explaining it with a PING model.

This study identifies neural signatures of cue-induced decision-making differences between gambling disorder and healthy controls using fMRI and machine learning.

The paper integrates electric field modeling with neuroimaging to show that individual electric field differences predict variability in tACS effects on brain oscillations.