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EM and XRM Connectomics Imaging and Experimental Metadata Standards
These datasets are derived from an increasing number of species, in an increasing number of brain regions, and with an increasing number of techniques.
Exploiting Large Neuroimaging Datasets to Create Connectome-Constrained Approaches for more Robust, Efficient, and Adaptable Artificial Intelligence
We envision a pipeline to utilize large neuroimaging datasets, including maps of the brain which capture neuron and synapse connectivity, to improve machine learning approaches.
Annotating Synapses in Large EM Datasets
Reconstructing neuronal circuits at the level of synapses is a central problem in neuroscience and becoming a focus of the emerging field of connectomics.
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