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Scaling Spike Detection and Sorting for Next-Generation Electrophysiology.
Hennig, Matthias H; Hurwitz, Cole; Sorbaro, Martino.
Afiliación
  • Hennig MH; Institute for Adaptive and Neural Computation, School of Informatics, University of Edinburgh, Edinburgh, UK. m.hennig@ed.ac.uk.
  • Hurwitz C; Institute for Adaptive and Neural Computation, School of Informatics, University of Edinburgh, Edinburgh, UK.
  • Sorbaro M; Institute for Adaptive and Neural Computation, School of Informatics, University of Edinburgh, Edinburgh, UK.
Adv Neurobiol ; 22: 171-184, 2019.
Article en En | MEDLINE | ID: mdl-31073936
Reliable spike detection and sorting, the process of assigning each detected spike to its originating neuron, are essential steps in the analysis of extracellular electrical recordings from neurons. The volume and complexity of the data from recently developed large-scale, high-density microelectrode arrays and probes, which allow recording from thousands of channels simultaneously, substantially complicate this task conceptually and computationally. This chapter provides a summary and discussion of recently developed methods to tackle these challenges and discusses the important aspect of algorithm validation, and assessment of detection and sorting quality.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Potenciales de Acción / Electrofisiología / Neuronas Tipo de estudio: Diagnostic_studies Idioma: En Revista: Adv Neurobiol Año: 2019 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Potenciales de Acción / Electrofisiología / Neuronas Tipo de estudio: Diagnostic_studies Idioma: En Revista: Adv Neurobiol Año: 2019 Tipo del documento: Article Pais de publicación: Estados Unidos