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Found 4 papers, 2 papers with code
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.
A large language model-assisted education tool to provide feedback on open-ended responses
Open-ended questions are a favored tool among instructors for assessing student understanding and encouraging critical exploration of course material.
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.
Scatterbrained: A flexible and expandable pattern for decentralized machine learning
Federated machine learning is a technique for training a model across multiple devices without exchanging data between them.
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