Topic: single-cell RNA datasets

Despite decades of meticulous classification of spinal subtypes involved in central pattern generation (CPG), the synaptic architecture and mechanisms underlying locomotion remain elusive. We recently proposed a random network model, based on balanced excitation/inhibition, termed the Balanced Sequence Generator (BSG). This model recapitulated the rhythmic sequences observed in the cord and accommodated multi-functionality critical to CPGs. However, it did not include or address the diversity of spinal cell types. Here, we present a new approach that expands the BSG-framework to reconcile netw