Oren Richter

The paper develops a framework to model cortical connectivity using representational learning, achieving accurate predictions of synapses and network motifs without detailed cell-type classifications.

This paper uses statistical generative models to reconstruct the developing connectome of C. elegans, identifying key features and developmental stages.