Yves Bernaerts

The paper develops a hybrid modeling approach to link ion channel gene expression to the electrophysiological properties of cortical neuron types using statistical and mechanistic models.

This paper introduces sparse reduced-rank regression for visualizing relationships between paired multivariate datasets, showing improved performance over existing methods in Patch-seq data.

The paper combines morpho-electric and transcriptomic data from mouse motor cortex neurons to show that transcriptomic types within families form continuous morpho-electric landscapes rather than discrete entities.

The paper identifies distinct cell types and circuit organization in layer 4 of primary sensory areas in adult mouse neocortex, challenging the canonical microcircuit model.