Relating synaptic connectivity to function based on a full contactome of a Drosophila motor circuit
Connectomes provide critical constraints for neural circuit models. Advances in electron microscopy have dramatically increased the scale of connectome datasets, enabling more realistic modeling of neural circuits. However, challenges remain in using these datasets. Many models still rely on unconstrained physiological parameters, even within fully mapped circuits, leading to ongoing debates about the predictive power of connectomic data. Key questions remain on how synaptic connectivity relates to physiological properties and the anatomical detail needed to predict function. One modeling choi