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Open Access

Peer-reviewed

Research Article

A study of autoencoders as a feature extraction technique for spike sorting

Eugen-Richard Ardelean ,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: ardeleaneugenrichard@gmail.com

Affiliations Department of Experimental and Theoretical Neuroscience, Transylvanian Institute of Neuroscience, Cluj-Napoca, Romania, Department of Computer Science, Technical University of Cluj-Napoca, Cluj-Napoca, Romania

https://orcid.org/0000-0002-0098-4228

⨯
Andreea Coporîie,

Roles Conceptualization, Methodology, Software, Visualization, Writing – review & editing

Affiliation Department of Computer Science, Technical University of Cluj-Napoca, Cluj-Napoca, Romania
⨯
Ana-Maria Ichim,

Roles Data curation, Resources, Writing – review & editing

Affiliation Department of Experimental and Theoretical Neuroscience, Transylvanian Institute of Neuroscience, Cluj-Napoca, Romania
⨯
Mihaela Dînșoreanu,

Roles Project administration, Supervision, Writing – review & editing

Affiliation Department of Computer Science, Technical University of Cluj-Napoca, Cluj-Napoca, Romania
⨯
Raul Cristian Mureșan

Roles Funding acquisition, Project administration, Supervision, Writing – review & editing

Affiliations Department of Experimental and Theoretical Neuroscience, Transylvanian Institute of Neuroscience, Cluj-Napoca, Romania, STAR-UBB Institute, Babeș-Bolyai University, Cluj-Napoca, Romania
⨯

A study of autoencoders as a feature extraction technique for spike sorting

Eugen-Richard Ardelean,
Andreea Coporîie,
Ana-Maria Ichim,
Mihaela Dînșoreanu,
Raul Cristian Mureșan

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Published: March 9, 2023
https://doi.org/10.1371/journal.pone.0282810

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