Exploiting neuro-inspired dynamic sparsity for energy-efficient intelligent perception.
Saved in:
| Title: | Exploiting neuro-inspired dynamic sparsity for energy-efficient intelligent perception. |
|---|---|
| Authors: | Zhou S; Institute of Neuroinformatics, University of Zurich and ETH Zurich, Zurich, Switzerland., Gao C; Delft University of Technology, Delft, the Netherlands., Delbruck T; Institute of Neuroinformatics, University of Zurich and ETH Zurich, Zurich, Switzerland., Verhelst M; KU Leuven & imec, Leuven, Belgium., Liu SC; Institute of Neuroinformatics, University of Zurich and ETH Zurich, Zurich, Switzerland. shih@ini.uzh.ch. |
| Source: | Nature communications [Nat Commun] 2025 Nov 11; Vol. 16 (1), pp. 9928. Date of Electronic Publication: 2025 Nov 11. |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41219200 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Exploiting neuro-inspired dynamic sparsity for energy-efficient intelligent perception. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Zhou+S%22">Zhou S</searchLink>; Institute of Neuroinformatics, University of Zurich and ETH Zurich, Zurich, Switzerland.<br /><searchLink fieldCode="AU" term="%22Gao+C%22">Gao C</searchLink>; Delft University of Technology, Delft, the Netherlands.<br /><searchLink fieldCode="AU" term="%22Delbruck+T%22">Delbruck T</searchLink>; Institute of Neuroinformatics, University of Zurich and ETH Zurich, Zurich, Switzerland.<br /><searchLink fieldCode="AU" term="%22Verhelst+M%22">Verhelst M</searchLink>; KU Leuven & imec, Leuven, Belgium.<br /><searchLink fieldCode="AU" term="%22Liu+SC%22">Liu SC</searchLink>; Institute of Neuroinformatics, University of Zurich and ETH Zurich, Zurich, Switzerland. shih@ini.uzh.ch. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101528555%22">Nature communications</searchLink> [Nat Commun] 2025 Nov 11; Vol. 16 (1), pp. 9928. <i>Date of Electronic Publication: </i>2025 Nov 11. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Review – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Pub%2E+Group%22">Nature Pub. Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101528555 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2041-1723 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220411723%22">20411723 </searchLink><i>NLM ISO Abbreviation: </i>Nat Commun <i>Subsets: </i>MEDLINE; PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41219200 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41467-025-65387-7 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 9928 Titles: – TitleFull: Exploiting neuro-inspired dynamic sparsity for energy-efficient intelligent perception. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhou S – PersonEntity: Name: NameFull: Gao C – PersonEntity: Name: NameFull: Delbruck T – PersonEntity: Name: NameFull: Verhelst M – PersonEntity: Name: NameFull: Liu SC IsPartOfRelationships: – BibEntity: Dates: – D: 11 M: 11 Text: 2025 Nov 11 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 2041-1723 Numbering: – Type: volume Value: 16 – Type: issue Value: 1 Titles: – TitleFull: Nature communications Type: main |
| ResultId | 1 |