A coupled autoencoder approach for multi-modal analysis of cell types

Recent developments in high throughput profiling of individual neurons have spurred data driven exploration of the idea that there exist natural groupings of neurons referred to as cell types. The promise of this idea is that the immense complexityofbrain circuits canbereduced, andeffectivelystudied bymeans of interactions betweencelltypes.