Spike sorting of heterogeneous neuron types by multimodality-weighted PCA and explicit robust variational Bayes

This study introduces a new spike sorting method that classifies spike waveforms from multiunit recordings into spike trains of individual neurons. In particular, we develop a method to sort a spike mixture generated by a heterogeneous neural population. Such a spike sorting has a significant practi...

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Detalles Bibliográficos
Autores principales: Takekawa, Takashi, Isomura, Yoshikazu, Fukai, Tomoki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2012
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3307250/
https://www.ncbi.nlm.nih.gov/pubmed/22448159
http://dx.doi.org/10.3389/fninf.2012.00005

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3307250/
https://www.ncbi.nlm.nih.gov/pubmed/22448159
http://dx.doi.org/10.3389/fninf.2012.00005

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