A hardware-efficient on-implant spike compression processor based on VQ-DAE for brain-implantable microsystems.
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| Title: | A hardware-efficient on-implant spike compression processor based on VQ-DAE for brain-implantable microsystems. |
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| Authors: | Ahmadi-Dastgerdi N; Faculty of Electrical Engineering, K. N. Toosi University of Technology, P.O. Box 16315-1355, Tehran, 1631714191, Iran., Hosseini-Nejad H; Faculty of Electrical Engineering, K. N. Toosi University of Technology, P.O. Box 16315-1355, Tehran, 1631714191, Iran. hosseini_nezhad@kntu.ac.ir., Alinejad-Rokny H; Biomedical Machine Learning Lab (BML), The Graduate School of Biomedical Engineering, UNSW Sydney, Sydney, NSW, 2052, Australia. |
| Source: | Medical & biological engineering & computing [Med Biol Eng Comput] 2025 Jul; Vol. 63 (7), pp. 2047-2056. Date of Electronic Publication: 2025 Feb 08. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Country of Publication: United States NLM ID: 7704869 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1741-0444 (Electronic) Linking ISSN: 01400118 NLM ISO Abbreviation: Med Biol Eng Comput Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1741-0444 |
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| DOI: | 10.1007/s11517-025-03317-x |
