Kenneth D. Harris

The paper introduces pciSeq to map inhibitory neurons in mouse hippocampus CA1, identifying 16 interneuron classes with spatial arrangement matching ground truth.

This study shows that bilateral ongoing activity in mouse cortex explains much of the variability in sensory responses during a visual detection task.

This study investigates how mice integrate sensory confidence and reward value in decision-making and learning, revealing distinct roles for frontal and dopamine neurons.

This study identifies the functional organization of excitatory and inhibitory intracortical circuits in mouse V1 that contribute to orientation and direction selectivity.

The paper analyzes cortical spiking dynamics across fast and infraslow timescales in mice, revealing distinct coupling patterns between individual neurons and population activity.

This study investigates PPC neuron activity during virtual navigation in mice, finding that spatial position and heading angle predict neural activity better than decision or other variables.

MATLAB tool registers histology slices to the Allen Mouse Brain Atlas and traces electrode tracks across them, reported to localize recording sites more accurately than eyeballing the atlas.

The paper uses single-cell transcriptomics to analyze hippocampal CA1 inhibitory neurons, revealing both discrete classes and continuous variation in their diversity.

The paper reports aberrant cortical activity and fluorescence events in some GCaMP6-expressing transgenic mice, suggesting potential artifacts in neuronal recordings.

This study shows that immobile silicon probes can provide stable, long-term neuronal recordings in mice for several months without microdrives.

The paper uses scRNA-seq to classify CA1 interneurons into a 5-level hierarchy, identifies novel molecular markers, and discovers a new interneuron population called R2C2 cells.

The paper develops a mathematical model of neuronal networks inspired by economic principles, showing how neurons compete and self-organize through retroaxonal signals.