State-space kinetic Ising model reveals task-dependent entropy flow in sparsely active nonequilibrium neuronal dynamics.
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| Title: | State-space kinetic Ising model reveals task-dependent entropy flow in sparsely active nonequilibrium neuronal dynamics. |
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| Authors: | Ishihara K; Graduate School of Life Science, Hokkaido University, Sapporo, Japan. ishihara.ken.n7@elms.hokudai.ac.jp.; Center for Human Nature, Artificial Intelligence, and Neuroscience (CHAIN), Hokkaido University, Sapporo, Japan. ishihara.ken.n7@elms.hokudai.ac.jp., Shimazaki H; Center for Human Nature, Artificial Intelligence, and Neuroscience (CHAIN), Hokkaido University, Sapporo, Japan. h.shimazaki@i.kyoto-u.ac.jp.; Graduate School of Informatics, Kyoto University, Kyoto, Japan. h.shimazaki@i.kyoto-u.ac.jp. |
| Source: | Nature communications [Nat Commun] 2025 Dec 09; Vol. 16 (1), pp. 10852. Date of Electronic Publication: 2025 Dec 09. |
| 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 |
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| DOI: | 10.1038/s41467-025-66669-w |
