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Found 2 papers, 1 papers with code
Enabling hyperparameter optimization in sequential autoencoders for spiking neural data
Our results should greatly extend the applicability of SAEs in extracting latent dynamics from sparse, multidimensional data, such as neural population spiking activity.
Unsupervised Spike Sorting Based on Discriminative Subspace Learning
The algorithms are tested on synthetic and in-vivo data, and are compared against two widely used spike sorting methods.
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