Google Research uses AI-generated neurons to speed brain mapping, reducing reconstruction errors by 4.4%
AI-generated synthetic neurons speed up brain mapping
What happened
Google Research has proposed MoGen (Neuronal Morphology Generation), a model that generates synthetic neuron shapes with point-cloud flow matching. The data supplements training for the PATHFINDER reconstruction model, reducing mouse-axon reconstruction error by 4.4%, mainly by decreasing merge errors. At whole-mouse-brain scale, the work is equivalent to saving 157 person-years of manual proofreading. MoGen is available as an open-source model.
Google / GeminiOpen sourceData and trainingPapers and research#Research#Open source#Data and training#Google
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