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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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 39921814 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A hardware-efficient on-implant spike compression processor based on VQ-DAE for brain-implantable microsystems. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Ahmadi-Dastgerdi+N%22">Ahmadi-Dastgerdi N</searchLink>; Faculty of Electrical Engineering, K. N. Toosi University of Technology, P.O. Box 16315-1355, Tehran, 1631714191, Iran.<br /><searchLink fieldCode="AU" term="%22Hosseini-Nejad+H%22">Hosseini-Nejad H</searchLink>; Faculty of Electrical Engineering, K. N. Toosi University of Technology, P.O. Box 16315-1355, Tehran, 1631714191, Iran. hosseini&#95;nezhad@kntu.ac.ir.<br /><searchLink fieldCode="AU" term="%22Alinejad-Rokny+H%22">Alinejad-Rokny H</searchLink>; Biomedical Machine Learning Lab (BML), The Graduate School of Biomedical Engineering, UNSW Sydney, Sydney, NSW, 2052, Australia. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%227704869%22">Medical & biological engineering & computing</searchLink> [Med Biol Eng Comput] 2025 Jul; Vol. 63 (7), pp. 2047-2056. <i>Date of Electronic Publication: </i>2025 Feb 08. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>7704869 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1741-0444 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2201400118%22">01400118 </searchLink><i>NLM ISO Abbreviation: </i>Med Biol Eng Comput <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39921814 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11517-025-03317-x Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 2047 Titles: – TitleFull: A hardware-efficient on-implant spike compression processor based on VQ-DAE for brain-implantable microsystems. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ahmadi-Dastgerdi N – PersonEntity: Name: NameFull: Hosseini-Nejad H – PersonEntity: Name: NameFull: Alinejad-Rokny H IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: 2025 Jul Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1741-0444 Numbering: – Type: volume Value: 63 – Type: issue Value: 7 Titles: – TitleFull: Medical & biological engineering & computing Type: main |
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