Samir Simon Suweis

This paper introduces a whole-brain model linking resting-state EEG activity to TMS-evoked responses, showing it can predict TEPs without time-domain simulations.

This paper shows that apparent changes in species interactions over time can arise from population dynamics and experimental setup, and proposes using short time series to better distinguish direct from indirect interactions.

This study shows that newborns' brains tune near criticality in response to prenatal language exposure, with differential responses to familiar and unfamiliar languages based on rhythm similarity.

IGNITE infers gene regulatory networks from scRNA-seq data and accurately simulates gene perturbations with 74% accuracy in murine pluripotent stem cells.

This study estimates the dimension of structural connectomes to understand their influence on brain dynamics in health and disease, finding it correlates with cognitive performance and lesion effects.

The paper demonstrates that the somatosensory barrel cortex controls spindle oscillations through frequency locking in anesthetized rats.

This paper introduces a framework to quantify cognitive effort using EEG microstates and optimal transport theory, validated on Stroop task data showing increased transition costs with task demands.

This paper applies network control theory to identify optimal input nodes for controlling specific brain regions using effective connectivity models.

This study shows that newborns' brain activity shows increased long-range temporal correlations after speech stimulation, particularly for the language they heard prenatally.

This study investigates ecological patterns in gut microbiomes to determine if they can distinguish healthy from diseased states, using metagenomics data and population dynamics models.

The paper presents a method to approximate brain connectomes from single-cell anatomical reconstructions without synaptic annotations, validated on Drosophila and zebrafish datasets.

This study examines how stroke affects neural criticality in individual brain models and shows recovery over time linked to white matter remodeling.

This paper shows that brain network structure and criticality drive collective oscillations in a stochastic whole-brain model.

The paper investigates whether neuronal avalanches in the somatosensory barrel cortex of anesthetized rats exhibit critical behavior during spontaneous and stimulated activity.

The paper introduces Core-Kaiju, a taxonomic classification method for metagenomics that improves accuracy in predicting taxa number and abundance compared to existing methods.