Description:

Nathan Gouwens, PhD
Assistant Investigator
Allen Institute for Brain Science

Neurons are frequently classified into distinct types by their structural, physiological, and genetic attributes. To examine correspondences between these attributes and thereby better define cell types, we characterized the transcriptomes, intrinsic physiological properties, and local morphologies of mouse visual cortical GABAergic neurons. We find that most transcriptomically-defined neuron types exhibit consistent electrophysiological and morphological properties, and through integrated multimodal analysis, we define GABAergic neuron types that have congruent properties and robust mutual predictability. These neuron types provide a systematic framework to capture existing knowledge and bridge future analyses across different modalities.