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Peer-reviewedLicence not statedNature Neuroscience

Neural timescales from a computational perspective

14 affiliations
  1. 1Bernstein Center for Computational Neuroscience Tübingen, Tübingen, Germany. [email protected]
  2. 2Max Planck Institute for Biological Cybernetics, Tübingen, Germany. [email protected]
  3. 3Self-Organization and Optimality in Neuronal Networks, University of Tübingen, Tübingen, Germany. [email protected]
  4. 4Tübingen AI Center, Tübingen, Germany. [email protected]
  5. 5Bernstein Center for Computational Neuroscience Tübingen, Tübingen, Germany
  6. 6Max Planck Institute for Biological Cybernetics, Tübingen, Germany
  7. 7Self-Organization and Optimality in Neuronal Networks, University of Tübingen, Tübingen, Germany
  8. 8Tübingen AI Center, Tübingen, Germany
  9. 9Machine Learning in Science, University of Tübingen, Tübingen, Germany
  10. 10Max Planck Institute for Intelligent Systems, Tübingen, Germany
  11. 11Bernstein Center for Computational Neuroscience Tübingen, Tübingen, Germany. [email protected]
  12. 12Institute of Computer Science, Goethe University Frankfurt, Frankfurt, Germany. [email protected]
  13. 13Machine Learning in Science, University of Tübingen, Tübingen, Germany. [email protected]
  14. 14Tübingen AI Center, Tübingen, Germany. [email protected]

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BibTeX
@article{zeraati2026neural,
  title = {{Neural timescales from a computational perspective}},
  author = {Roxana Zeraati and Anna Levina and Jakob H. Macke and Richard Gao},
  journal = {Nature Neuroscience},
  year = {2026},
  month = jul,
  doi = {10.1038/s41593-026-02343-8},
  url = {http://arxiv.org/abs/2409.02684},
}
RIS
TY  - JOUR
TI  - Neural timescales from a computational perspective
AU  - Roxana Zeraati
AU  - Anna Levina
AU  - Jakob H. Macke
AU  - Richard Gao
PY  - 2026
DA  - 2026/07/01
JO  - Nature Neuroscience
DO  - 10.1038/s41593-026-02343-8
UR  - http://arxiv.org/abs/2409.02684
SN  - 1097-6256
SN  - 1546-1726
ER  -