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Embedding of low-dimensional sensory dynamics in recurrent networks: Implications for the geometry of neural representation

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Τίτλος: Embedding of low-dimensional sensory dynamics in recurrent networks: Implications for the geometry of neural representation
Συγγραφείς: O’Reilly-Shah, Vikas N.Aff1, IDs10827026009518_cor1, Selvitella, Alessandro MariaAff2, Aff3
Πηγή: Journal of Computational Neuroscience. :1-36
Βάση Δεδομένων: Springer Nature Journals
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  – Url: https://dx.doi.org/doi:10.1007/s10827-026-00951-8
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              Y: 2026
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