Samir Simon Suweis

A Whole-Brain Dynamical Framework Linking Resting-State Activity to TMS-Evoked Responses

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.

Unraveling the temporal dependence of ecological interaction measures

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.

Brain-tuning near criticality in newborns by prenatal experience with language

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.

Unveiling Gene Perturbation Effects through Gene Regulatory Networks Inference from single-cell transcriptomic data

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

Structural Connectome Dimension Shapes Brain Dynamics in Health and Disease

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 somatosensory barrel cortex controls the spindlethalamocortical oscillation by frequency locking

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

EEG microstate transition cost correlates with task demands

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.

Controlling target brain regions by optimal selection of input nodes

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

Prenatal experience with language shapes the brain

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

A method for extracting an approximated connectome from libraries of single cell anatomical reconstructions

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

Recovery of neural dynamics criticality in personalized whole brain models of stroke

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

Criticality and network structure drive emergent oscillations in a stochastic whole-brain model

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

Beyond resting state neuronal avalanches in the somatosensory barrel cortex

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

Taxonomic classification method for metagenomics based on core protein families with Core-Kaiju

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