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. |
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| Authors: | Ahmadi-Dastgerdi N; Faculty of Electrical Engineering, K. N. Toosi University of Technology, Tehran, Iran., Hosseini-Nejad H; Faculty of Electrical Engineering, K. N. Toosi University of Technology, Tehran, Iran., Alinejad-Rokny H; BioMedical Machine Learning Lab (BML), The Graduate School of Biomedical Engineering, UNSW Sydney, Sydney, NSW, 2052, Australia. |
| Source: | International journal of neural systems [Int J Neural Syst] 2024 Dec; Vol. 34 (12), pp. 2450067. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: World Scientific Pub. Co Country of Publication: Singapore NLM ID: 9100527 Publication Model: Print Cited Medium: Internet ISSN: 1793-6462 (Electronic) Linking ISSN: 01290657 NLM ISO Abbreviation: Int J Neural Syst Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1793-6462 |
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| DOI: | 10.1142/S0129065724500679 |
