Comparative analysis of spike sorting using Uniform Manifold Approximation and Projection (UMAP) vs. feature-based methods in in vivo extracellular recordings. 著者: Daniel Suárez-Barrera (22676654)

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Impact of multiunit merging on neural information encoding. 著者: Daniel Suárez-Barrera (22676654)

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Comparison of Uniform Manifold Approximation and Projection (UMAP)-based and feature-based spike sorting on synthetic data. 著者: Daniel Suárez-Barrera (22676654)

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Spatiotemporal spike sorting on multi-electrode array (MEA) data: Uniform Manifold Approximation and Projection (UMAP) vs. SpyKING CIRCUS (SC). 著者: Daniel Suárez-Barrera (22676654)

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Uniform Manifold Approximation and Projection (UMAP)-based sorting enhances detection of low-firing rate neurons and boosts mutual information. 著者: Daniel Suárez-Barrera (22676654)

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Comparison of feature-based and Uniform Manifold Approximation and Projection (UMAP)-based spike sorting for neuron classification. 著者: Daniel Suárez-Barrera (22676654)

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