SSSort 2.0: A semi-automated spike detection and sorting system for single sensillum recordings
Overall, we have demonstrated that spike-sorting with SSSort 2.0 software can automate data processing of SSRs with accuracy levels comparable to, or above, expert manual performance.
Authors
- György Kemenes (ORCID: https://orcid.org/0000-0003-2004-8725)
- Alicia Garrido-Peña (ORCID: https://orcid.org/0000-0003-0799-6851)
- Larry F. Ellison (ORCID: https://orcid.org/0000-0002-7284-6780)
- Georg Raiser (ORCID: https://orcid.org/0000-0002-9716-3513)
- Thomas Nowotny (ORCID: https://orcid.org/0000-0002-4451-915X)
Institutions
- Champalimaud Foundation (PT)
- University of Sussex (GB)
- Universidad Autónoma de Madrid (ES)
- Universidad Politécnica de Madrid (ES)
Publication Details
- Journal
- Journal of Neuroscience Methods
- Published
- 2024-12-19
- DOI
- https://doi.org/10.1016/j.jneumeth.2024.110351
- Citations
- 1
- Primary Topic
- Neurobiology and Insect Physiology Research
- Type
- article
- Field-Weighted Citation Impact
- 0.27
Funders
- Leverhulme Trust
- Engineering and Physical Sciences Research Council
- Agencia Estatal de Investigación