Biologically grounded neocortex computational primitives implemented on neuromorphic hardware improve vision transformer performance.

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Bibliographic Details
Title: Biologically grounded neocortex computational primitives implemented on neuromorphic hardware improve vision transformer performance.
Authors: Iqbal A; Tibbling Technologies, Seattle, WA 98052-5727., Mahmood H; Tibbling Technologies, Seattle, WA 98052-5727., Stuart GJ; John Curtin School of Medical Research, Eccles Institute of Neuroscience, Australian National University, Canberra, ACT 2601, Australia.; Department of Physiology, Monash University, Melbourne, VIC 3800, Australia., Fishell G; Harvard Medical School, Blavatnik Institute, Department of Neurobiology, Boston, MA 02115.; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142., Honnuraiah S; John Curtin School of Medical Research, Eccles Institute of Neuroscience, Australian National University, Canberra, ACT 2601, Australia.; Harvard Medical School, Blavatnik Institute, Department of Neurobiology, Boston, MA 02115.; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142.; Institute of Neuroinformatics, ETH Zurich and University of Zurich, Zurich CH-8057, Switzerland.
Source: Proceedings of the National Academy of Sciences of the United States of America [Proc Natl Acad Sci U S A] 2025 Oct 14; Vol. 122 (41), pp. e2504164122. Date of Electronic Publication: 2025 Oct 07.
Publication Type: Journal Article
Journal Info: Publisher: National Academy of Sciences Country of Publication: United States NLM ID: 7505876 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1091-6490 (Electronic) Linking ISSN: 00278424 NLM ISO Abbreviation: Proc Natl Acad Sci U S A Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1091-6490
DOI:10.1073/pnas.2504164122