Scaling Spike Detection and Sorting for Next-Generation Electrophysiology

Matthias H. Hennig*, Cole Hurwitz, Martino Sorbaro

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

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.

Original languageEnglish
Title of host publicationIn Vitro Neuronal Networks
Subtitle of host publicationFrom Culturing Methods to Neuro-Technological Applications
PublisherSpringer New York LLC
Pages171-184
Number of pages14
ISBN (Electronic)978-3-030-11135-9
ISBN (Print)978-3-030-11134-2
DOIs
Publication statusPublished - 10 May 2019

Publication series

NameAdvances in Neurobiology
Volume22
ISSN (Print)2190-5215
ISSN (Electronic)2190-5223

Keywords

  • Clustering
  • Extracellular recording
  • Large-scale recording
  • Multielectrode array
  • Spike sorting

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