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Cited by 462

The DOI matches its Crossref record; 82 of the 82 references it cites were found in a registry or an index.

Past, present and future of spike sorting techniques

Open access
Rey, Hernan Gonzalo, Pedreira, Carlos, Quian Quiroga, Rodrigo·2015·Brain Research Bulletin

Abstract

Spike sorting is a crucial step to extract information from extracellular recordings. With new recording opportunities provided by the development of new electrodes that allow monitoring hundreds of neurons simultaneously, the scenario for the new generation of algorithms is both exciting and challenging. However, this will require a new approach to the problem and the development of a common reference framework to quickly assess the performance of new algorithms. In this work, we review the basic concepts of spike sorting, including the requirements for different applications, together with the problems faced by presently available algorithms. We conclude by proposing a roadmap stressing the crucial points to be addressed to support the neuroscientific research of the near future.

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Crossref · 10.1016/j.brainresbull.2015.04.007

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Metadata

Authors
Rey, H. G., Pedreira, C., & Quian Quiroga, R.
Venue
Brain Research Bulletin
Publisher
Elsevier BV
Published
2015-10
Volume
119
Issue
Pt B
Pages
106-117
ISSN
0361-9230 (ISSN-L)
OpenAlex
W2021417436
Cited by
462
References
82
FWCI
14.84
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Past, present and future of spike sorting techniques. https://app.cochat.ai/papers/10.1016/j.brainresbull.2015.04.007
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Rey, H. G., Pedreira, C., & Quian Quiroga, R. (2015). Past, present and future of spike sorting techniques. Brain Research Bulletin. https://doi.org/10.1016/j.brainresbull.2015.04.007

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.