Eline Jasmijn Mertens

This study builds a detailed computational model of the human neocortex and compares it to a rat model, revealing differences in cell density, branching complexity, and synaptic connectivity.

The paper integrates multimodal data to characterize human neocortical glutamatergic neurons, revealing morphoelectric properties that distinguish transcriptomic subclasses and highlight species-specific differences.

This study shows human cortical neurons mature slowly into adulthood, unlike mice, and develops a model to simulate this process across species.

The paper shows that biophysical properties of Na+ and K+ channels in human pyramidal neurons enable fast and reliable input-output signaling.

The paper identifies structural and functional adaptations in human fast spiking neurons that enable fast inhibition despite increased cortical distances.

The paper maps morpho-electric and computational properties of human hippocampal CA1 pyramidal neurons and identifies three distinct cell types with unique biophysical features.

The paper compares dendritic architecture in human and mice neuronal networks, finding that human pyramidal cells have greater dendritic complexity, contributing to increased network complexity despite lower neuron density.

The paper shows that expanded layers 2 and 3 in the left temporal cortex correlate with higher verbal intelligence scores and specific neuronal features.

ORANGE enables targeted genomic integration of fluorescent tags in neurons to study endogenous protein distribution with high-resolution imaging.

The paper identifies transcriptomic diversity in human supragranular neurons and links it to functional specialization and disease vulnerability.