Julian Lehrer

HIPPIE is a deep learning model that classifies neurons from electrophysiological recordings by combining self-supervised pretraining and supervised fine-tuning, showing better performance than unsupervised methods.

This study shows that the identity of MGE-derived cortical interneurons can be dynamically influenced by their environment, with human 3D models promoting Pvalb expression over Sst.

SIMS is a deep learning tool for single-cell RNA sequencing classification that outperforms existing methods in accuracy and versatility across complex tissues and developmental stages.