Eli J. Müller

This study uses a neural field model to show that neuromodulatory systems dynamically gate cortical wave propagation by altering gain and spatial patterns of activity.

The paper uses fMRI and recurrent neural networks to show that compositional cognition involves specialized cortical regions for components and a distributed cortico-cerebellar network for recombination.

The paper investigates the role of cerebellar and subcortical regions in working memory manipulation using fMRI during a mental rotation task, finding increased BOLD activity and delayed responses in these areas with larger rotation angles.

This paper introduces a computational method to generate personalized brain stimulation signals for disorders of consciousness, showing in silico that it can induce healthy-like EEG power spectra.

This paper constructs a biophysical model of perceptual awareness in mice that explains neural and behavioral signatures and predicts electrophysiological responses.

This study examines the effects of sedation on brain-wide activity and auditory processing in larval zebrafish using calcium imaging, revealing a quieter, more stable brain state with altered sensory processing.

This study shows the thalamus controls cortical dynamics across conscious states using fMRI, electrophysiology, and biophysical modeling.

The paper shows that multiscale neuronal activity patterns are preserved across species and scales, reconciling scale-dependent theories of brain function through self-similar scaling.

The paper shows thalamocortical connections develop along a sensorimotor-association gradient in youth, linking structural connectivity to cortical plasticity and environmental sensitivity.

The paper identifies a preserved cross-frequency cortical-thalamic communication channel during conscious states and shows its disruption in unconsciousness and enhancement in psychedelic states.

The paper uses inverted neural mass models to link electrophysiological signatures of awareness to thalamocortical mechanisms across arousal states.

The paper investigates how parallel processing in the human brain relies on a distributed cortico-cerebellar architecture using fMRI data from dual-task experiments.

This paper develops a neural-mass model of the mouse cortex to understand brain dynamics using bifurcation diagrams and shows strong fits to resting-state fMRI data in simple dynamical regimes.

This study investigates how the ascending arousal system modulates cortical dynamics and conscious awareness through neural gain and low-dimensional energy landscapes.

This study shows that increasing diffuse cortical coupling in a biophysical model leads to quasi-critical brain states associated with complex network dynamics, observed in both simulations and human neuroimaging data.

The paper identifies Core and Matrix thalamic sub-populations and links them to spatio-temporal cortical connectivity gradients using fMRI and calcium-binding protein data.