Andrew Lin Ko

The paper examines HCN-channel properties in primate supragranular pyramidal neurons, finding conserved traits across species with some divergence in magnitude between humans and macaques.

The paper identifies transcriptomic and morpho-electric diversity in human neocortical layer 1 interneurons, revealing greater subclass distinction compared to mouse.

The paper uses viral labeling and Patch-seq to define morpho-electric properties of GABAergic interneurons in human neocortex, revealing functional insights and reclassifying some SST neurons into PVALB subclass.

The paper assesses inter-individual variation in human cortical cell types across 75 individuals, finding significant variation in abundance and gene expression, particularly in deep layer glutamatergic neurons.

The paper presents a synaptic physiology dataset and analysis platform to study cortical microcircuit structure and synaptic properties in mouse and human neocortex, revealing layer-dependent connectivity and subclass-specific dynamics.

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.

The paper identifies enhancer elements that drive subclass-specific gene expression in neocortex across mouse, primate, and human species using comparative epigenetics and AAV-based functional assays.

The paper compares cell types in human and mouse cortex using single nucleus RNA-sequencing, finding conserved architecture with species-specific differences.

The paper shows that h-channels contribute to differences in electrophysiological properties between human and mouse supragranular pyramidal neurons.

The paper examines sparse excitatory connectivity in adult mouse and human cortex using electrophysiology and optogenetics, finding sparse connections and synaptic dynamics across layers.