Embedding of low-dimensional sensory dynamics in recurrent networks: Implications for the geometry of neural representation.
- DOI
- 10.1007/s10827-026-00951-8
- Published
- 2026 Sep
- Container
- Journal of computational neuroscience
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s10827-026-00951-8,
title = {Embedding of low-dimensional sensory dynamics in recurrent networks: Implications for the geometry of neural representation.},
author = {O'Reilly-Shah VN and Selvitella AM},
year = {2026},
journal = {Journal of computational neuroscience},
doi = {10.1007/s10827-026-00951-8},
url = {https://doi.org/10.1007/s10827-026-00951-8}
}RIS
TY - JOUR TI - Embedding of low-dimensional sensory dynamics in recurrent networks: Implications for the geometry of neural representation. AU - O'Reilly-Shah VN AU - Selvitella AM PY - 2026 JO - Journal of computational neuroscience DO - 10.1007/s10827-026-00951-8 UR - https://doi.org/10.1007/s10827-026-00951-8 ER -
APA
VN, O., & AM, S. (2026). Embedding of low-dimensional sensory dynamics in recurrent networks: Implications for the geometry of neural representation.. Journal of computational neuroscience. https://doi.org/10.1007/s10827-026-00951-8
Source records
- pubmed · retrieved 2026-09-26T12:58:17.208Z