
320-Validated Single-Neuron Connectome of the Mouse Brain
This paper outlines a detailed framework for creating highly granular, whole-brain connectomes at the single-neuron level within the mouse brain, aiming to surpass the resolution of prior macro- and mesoscale studies. The methodology utilizes a scalable approach that generated two probabilistic networks: the arbor-net (based on potential proximity between arbors) and the bouton-net (based on predicted synaptic sites). Cross-validation confirmed the strong statistical and spatial consistency between these models, which both highlighted pronounced modular distributions corresponding to…
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