Scott F. Owen

The paper combines electrophysiology and single-cell sequencing to study postnatal development of human neocortical neurons, identifying BK channels as key drivers of physiological changes.

The paper analyzes multi-modal Patch-seq data from macaque striatum to reveal morphoelectric diversity and functional specialization of neuronal cell types, highlighting primate-specific features and differences from rodents.

The paper uses proteometric imaging to classify synapses by glutamate receptor subunits, finding subclasses linked to synaptic plasticity and dendritic coupling.

The paper shows that single-cell transcriptomic data can robustly predict single-neuron physiology in humans and mice, outperforming cell type averages.

The paper compares cellular diversity in the primary motor cortex across human, marmoset, and mouse using single-nucleus transcriptomics and epigenomics, finding conserved cell types and species-specific adaptations.

The paper identifies conserved and divergent morpho-electric and transcriptomic properties of human and rodent layer 5 extratelencephalic-projecting neurons using patch-seq in human brain slices.

This paper introduces an open-source, cost-effective system for controlling optical components in intracranial photometry and processing signals from deep-brain structures in freely moving mice.

This paper develops GRABDA sensors to measure dopamine with high precision in multiple organisms during complex behaviors.