Uniform Manifold Approximation and Projection (UMAP)-based sorting enhances detection of low-firing rate neurons and boosts mutual information.

Uniform Manifold Approximation and Projection (UMAP)-based sorting enhances detection of low-firing rate neurons and boosts mutual information.

<p><b>(A)</b> Cumulative average firing rate distributions for UMAP-based and principal component analysis (PCA)-based spike sorting reveal that UMAP identifies more low-firing neurons, reflecting greater sensitivity to sparse firing. <b>(B)</b> Anatomical maps illustra...

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Bibliografiset tiedot
Päätekijä: Daniel Suárez-Barrera (22676654) (author)
Muut tekijät: Lucas Bayones (22676657) (author), Norberto Encinas-Rodríguez (22676660) (author), Sergio Parra (22676663) (author), Viktor Monroy (22676666) (author), Sebastián Pujalte (22676669) (author), Bernardo Andrade-Ortega (22676672) (author), Héctor Díaz (22676675) (author), Manuel Alvarez (3468647) (author), Antonio Zainos (22676678) (author), Alessio Franci (143351) (author), Román Rossi-Pool (22676681) (author)
Julkaistu: 2025
Aiheet:
Cell Biology
Molecular Biology
Neuroscience
Physiology
Biotechnology
Developmental Biology
Science Policy
Space Science
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
spike sorting pipelines
spike sorting pipeline
seldom spiking neurons
recorded putative neurons
correctly sorted neurons
clustering algorithms responsible
spike sorting makes
reliable spike sorting
umap drastically increases
data analysis techniques
drastically improve
processed data
experimental data
universal practice
precise explorations
neural recordings
neural code
mathematically grounded
fundamentally motivated
extracellular electrophysiology
enables deeper
crucial step
computational cost
ad hoc
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