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 accessAbstract
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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Cites
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Automated long-term recording and analysis of neural activity in behaving animals
Dhawale, A. K., Poddar, R., Wolff, S. B., Normand, V. A., Kopelowitz, E., & Ölveczky, B. P. (2017) · eLife · doi:10.7554/elife.27702 · Cited by 159
Sandström, J., Eggermann, E., Charvet, I., Roux, A., Toni, N., Greggio, C., Broyer, A., Monnet-Tschudi, F., & Stoppini, L. (2017) · Toxicology in Vitro · doi:10.1016/j.tiv.2016.10.001 · Cited by 44
Asif-Malik, A., Dautan, D., Young, A. M. J., & Gerdjikov, T. V. (2017) · Brain Structure and Function · doi:10.1007/s00429-017-1393-3 · Cited by 18
Analytical approaches to examine gamma-aminobutyric acid and glutamate vesicular co-packaging
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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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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.