Explore brain-inspired machine intelligence for connecting dots on graphs through holographic blueprint of oscillatory synchronization.

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Bibliographic Details
Title: Explore brain-inspired machine intelligence for connecting dots on graphs through holographic blueprint of oscillatory synchronization.
Authors: Dan T; Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA., Ding J; Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.; Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA., Wu G; Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. grwu@med.unc.edu.; Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. grwu@med.unc.edu.; Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. grwu@med.unc.edu.; UNC Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. grwu@med.unc.edu.
Source: Nature communications [Nat Commun] 2025 Oct 24; Vol. 16 (1), pp. 9425. Date of Electronic Publication: 2025 Oct 24.
Publication Type: Journal Article
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
Database: MEDLINE Ultimate
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ISSN:2041-1723
DOI:10.1038/s41467-025-64471-2