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Linking fast and slow: the case for generative models
A pervasive challenge in neuroscience is testing whether neuronal connectivity changes over time due to specific causes, such as stimuli, events, or clinical interventions.
Enabling Machine Learning Across Heterogeneous Sensor Networks with Graph Autoencoders
Using our framework, we were able to transfer activity classifiers trained with activity labels on a source HSN to a target HSN, reaching about 75% of the baseline accuracy on the target HSN without us-ing target activity labels.
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