Literature DB >> 31073936

Scaling Spike Detection and Sorting for Next-Generation Electrophysiology.

Matthias H Hennig1, Cole Hurwitz2, Martino Sorbaro2,3.   

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.

Keywords:  Clustering; Extracellular recording; Large-scale recording; Multielectrode array; Spike sorting

Mesh:

Year:  2019        PMID: 31073936     DOI: 10.1007/978-3-030-11135-9_7

Source DB:  PubMed          Journal:  Adv Neurobiol


  6 in total

Review 1.  From End to End: Gaining, Sorting, and Employing High-Density Neural Single Unit Recordings.

Authors:  Réka Barbara Bod; János Rokai; Domokos Meszéna; Richárd Fiáth; István Ulbert; Gergely Márton
Journal:  Front Neuroinform       Date:  2022-06-13       Impact factor: 3.739

Review 2.  Studying Cardiac Neural Network Dynamics: Challenges and Opportunities for Scientific Computing.

Authors:  Nil Z Gurel; Koustubh B Sudarshan; Sharon Tam; Diana Ly; J Andrew Armour; Guy Kember; Olujimi A Ajijola
Journal:  Front Physiol       Date:  2022-04-29       Impact factor: 4.755

3.  SpikeForest, reproducible web-facing ground-truth validation of automated neural spike sorters.

Authors:  Jeremy Magland; James J Jun; Elizabeth Lovero; Alexander J Morley; Cole Lincoln Hurwitz; Alessio Paolo Buccino; Samuel Garcia; Alex H Barnett
Journal:  Elife       Date:  2020-05-19       Impact factor: 8.140

Review 4.  An Examination of Prospective Uses and Future Directions of Neuralink: The Brain-Machine Interface.

Authors:  Brian Fiani; Taylor Reardon; Benjamin Ayres; David Cline; Sarah R Sitto
Journal:  Cureus       Date:  2021-03-30

5.  A robust spike sorting method based on the joint optimization of linear discrimination analysis and density peaks.

Authors:  Yiwei Zhang; Jiawei Han; Tengjun Liu; Zelan Yang; Weidong Chen; Shaomin Zhang
Journal:  Sci Rep       Date:  2022-09-15       Impact factor: 4.996

6.  How Do Spike Collisions Affect Spike Sorting Performance?

Authors:  Samuel Garcia; Alessio P Buccino; Pierre Yger
Journal:  eNeuro       Date:  2022-10-03
  6 in total

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