Inferring internal states across mice and monkeys using facial features.
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| Title: | Inferring internal states across mice and monkeys using facial features. |
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| Authors: | Tlaie A; Ernst Strüngmann Institute for Neuroscience in cooperation with the Max Planck Society, Frankfurt am Main, Germany.; Laboratory for Clinical Neuroscience, Universidad Politécnica de Madrid, Madrid, Spain., Abd El Hay MY; Ernst Strüngmann Institute for Neuroscience in cooperation with the Max Planck Society, Frankfurt am Main, Germany., Mert B; Ernst Strüngmann Institute for Neuroscience in cooperation with the Max Planck Society, Frankfurt am Main, Germany., Taylor R; Ernst Strüngmann Institute for Neuroscience in cooperation with the Max Planck Society, Frankfurt am Main, Germany., Ferracci PA; Ernst Strüngmann Institute for Neuroscience in cooperation with the Max Planck Society, Frankfurt am Main, Germany., Shapcott K; Ernst Strüngmann Institute for Neuroscience in cooperation with the Max Planck Society, Frankfurt am Main, Germany., Glukhova M; Ernst Strüngmann Institute for Neuroscience in cooperation with the Max Planck Society, Frankfurt am Main, Germany., Pillow JW; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA., Havenith MN; Ernst Strüngmann Institute for Neuroscience in cooperation with the Max Planck Society, Frankfurt am Main, Germany., Schölvinck ML; Ernst Strüngmann Institute for Neuroscience in cooperation with the Max Planck Society, Frankfurt am Main, Germany. marieke.scholvinck@esi-frankfurt.de. |
| Source: | Nature communications [Nat Commun] 2025 Jun 04; Vol. 16 (1), pp. 5168. Date of Electronic Publication: 2025 Jun 04. |
| 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/s41467-025-60296-1 |