JAXLEY: differentiable simulation enables large-scale training of detailed biophysical models of neural dynamics.
- DOI
- 10.1038/s41592-025-02895-w
- Published
- 2025 Dec
- Container
- Nature methods
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41592-025-02895-w,
title = {JAXLEY: differentiable simulation enables large-scale training of detailed biophysical models of neural dynamics.},
author = {Deistler M and Kadhim KL and Pals M and Beck J and Huang Z and Gloeckler M and Lappalainen JK and Schröder C and Berens P and Gonçalves PJ and Macke JH},
year = {2025},
journal = {Nature methods},
doi = {10.1038/s41592-025-02895-w},
url = {https://doi.org/10.1038/s41592-025-02895-w}
}RIS
TY - JOUR TI - JAXLEY: differentiable simulation enables large-scale training of detailed biophysical models of neural dynamics. AU - Deistler M AU - Kadhim KL AU - Pals M AU - Beck J AU - Huang Z AU - Gloeckler M AU - Lappalainen JK AU - Schröder C AU - Berens P AU - Gonçalves PJ AU - Macke JH PY - 2025 JO - Nature methods DO - 10.1038/s41592-025-02895-w UR - https://doi.org/10.1038/s41592-025-02895-w ER -
APA
M, D., KL, K., M, P., J, B., Z, H., M, G., JK, L., C, S., P, B., PJ, G., & JH, M. (2025). JAXLEY: differentiable simulation enables large-scale training of detailed biophysical models of neural dynamics.. Nature methods. https://doi.org/10.1038/s41592-025-02895-w
Source records
- pubmed · retrieved 2026-09-25T11:37:38.542Z