The Developmental Rules of Neural Superposition in Drosophila

摘要: Summary Complicated neuronal circuits can be genetically encoded, but the underlying developmental algorithms remain largely unknown. Here, we describe a algorithm for specification of synaptic partner cells through axonal sorting in Drosophila visual map. Our approach combines intravital imaging growth cone dynamics developing brains intact pupae and data-driven computational modeling. These analyses suggest that three simple rules are sufficient to generate seemingly complex neural superposition wiring fly map without an elaborate molecular matchmaking code. model explains robust precise crowded brain region despite extensive overlaps provides framework matching mechanisms with they execute. Finally, ordered geometric axon terminal arrangements not required side product algorithm, thus elucidating circuit connectivity remained unexplained based on adult structure function alone. PaperClip