Han Young Yu

A multimodal approach for visualization and identification of electrophysiological cell types in vivo

This paper introduces PhysMAP, a framework that uses multimodal electrophysiological data to identify and study cell types in vivo, showing improved alignment with transcriptomic cell types and circuit dynamics.

DREDge: robust motion correction for high-density extracellular recordings across species

DREDge improves motion correction in high-density extracellular recordings across species, enhancing reliability and reducing errors in electrophysiological data.

In vivo cell-type and brain region classification via multimodal contrastive learning

This paper introduces NEMO, a multimodal contrastive learning method for classifying cell types and brain regions from electrophysiological data, achieving state-of-the-art results on two opto-tagged datasets and the International Brain Laboratory Brain-wide Map dataset.

A transient postnatal quiescent period precedes emergence of mature cortical dynamics

The paper identifies a transient quiescent period in early postnatal development that precedes the emergence of mature cortical dynamics in mice and humans.