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A Hardware-Efficient Novelty-Aware Spike Sorting Approach for Brain-Implantable Microsystems.

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Title: A Hardware-Efficient Novelty-Aware Spike Sorting Approach for Brain-Implantable Microsystems.
Authors: Ahmadi-Dastgerdi, Nazanin1, n.ahmadi95@email.kntu.ac.ir, Hosseini-Nejad, Hossein1, hosseini_nezhad@kntu.ac.ir, Alinejad-Rokny, Hamid2, h.alinejad@unsw.edu.au
Source: International Journal of Neural Systems; Dec2024, Vol. 34 Issue 12, p1-18, 18p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 180388072
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PubType: Academic Journal
PubTypeId: academicJournal
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      – Type: doi
        Value: 10.1142/S0129065724500679
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      – Code: eng
        Text: English
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        PageCount: 18
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      – TitleFull: A Hardware-Efficient Novelty-Aware Spike Sorting Approach for Brain-Implantable Microsystems.
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            NameFull: Ahmadi-Dastgerdi, Nazanin
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            NameFull: Hosseini-Nejad, Hossein
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              M: 12
              Text: Dec2024
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              Y: 2024
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              Value: 34
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              Value: 12
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