Niels Kuster

The paper develops a method to record EEG during temporal interference stimulation without artefacts and finds phase-specific modulation of visual cortex activity.

This study uses hippocampal stimulation during sleep to investigate memory consolidation, finding that timed stimulation improves memory retention and alters sleep oscillatory dynamics.

BraiNN is a framework for fast, personalized whole-brain network modeling using neural mass models, achieving rapid parameter fitting on consumer GPUs for clinical applications.

This study shows that thalamic temporal interference stimulation with a 5Hz envelope increases sleep spindle density through subthreshold resonance in thalamocortical relay neurons.

This paper develops dispersive dielectric models for skin reflection and absorption across 15-110 GHz frequencies to ensure compliance with electromagnetic safety standards for wireless devices.

The paper develops a semi-analytic model to simulate compound action potentials in complex nerves and validates it against in vivo measurements, showing how fascicle activation affects signal shape and magnitude.

The paper introduces o2S2PARC, an open-source platform for computational modeling and analysis, highlighting its features, applications, and adoption.

The paper introduces BlueRecording, a pipeline for efficiently calculating extracellular signals in large-scale neural simulations, and applies it to study signal contributions in a rat model.

This study systematically analyzes the safety and exposure risks of non-invasive brain stimulation in the presence of implants using computational models and simulations.

The paper proposes frequency-dependent safety thresholds for temporal interference stimulation (TIS) by comparing it to established brain stimulation methods using biophysical simulations.

This study validates non-invasive temporal interference stimulation of the human hippocampus, showing it can modulate activity and improve episodic memory.

This paper models low-intensity focused ultrasound's ability to selectively recruit myelinated or unmyelinated nerve fibers through parametric sub-spaces and membrane electromechanical coupling differences.

The paper describes the development of a resource for the autonomic nervous system community, including databases, connectivity maps, and simulation tools.