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A modular semantic-structural pipeline for visual decoding from primate spiking data via selective temporal integration.

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Title: A modular semantic-structural pipeline for visual decoding from primate spiking data via selective temporal integration.
Authors: Ciferri M; Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy., Ferrante M; Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy.; Tether Evo, Edificio Centro Corporativo Presidente Plaza, San Salvador, El Salvador., Toschi N; Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy.; A.A. Martinos Center for Biomedical Imaging, Harvard Medical School/MGH, Boston, MA, United States.
Source: Imaging neuroscience (Cambridge, Mass.) [Imaging Neurosci (Camb)] 2026 Jul 13; Vol. 4. Date of Electronic Publication: 2026 Jul 13 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: The MIT Press Country of Publication: United States NLM ID: 9918663686606676 Publication Model: eCollection Cited Medium: Internet ISSN: 2837-6056 (Electronic) Linking ISSN: 28376056 NLM ISO Abbreviation: Imaging Neurosci (Camb) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Ciferri+M%22">Ciferri M</searchLink>; Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy.<br /><searchLink fieldCode="AU" term="%22Ferrante+M%22">Ferrante M</searchLink>; Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy.; Tether Evo, Edificio Centro Corporativo Presidente Plaza, San Salvador, El Salvador.<br /><searchLink fieldCode="AU" term="%22Toschi+N%22">Toschi N</searchLink>; Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy.; A.A. Martinos Center for Biomedical Imaging, Harvard Medical School/MGH, Boston, MA, United States.
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        Value: 10.1162/IMAG.a.1299
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      – TitleFull: A modular semantic-structural pipeline for visual decoding from primate spiking data via selective temporal integration.
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            – D: 13
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              Text: 2026 Jul 13
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