JAXLEY, a differentiable simulator, leverages automatic differentiation and GPU acceleration to make large-scale biophysical neuron model optimization feasible. This approach uniquely combines biological accuracy with advanced machine-learning optimization techniques, allowing for efficient hyperparameter tuning and the exploration of neural computation mechanisms at scale.
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Neymotin, S.A., Hazan, H. Differentiable simulation expands frontiers for biophysical neural models. Nat Methods 22, 2503–2505 (2025). https://doi.org/10.1038/s41592-025-02933-7
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DOI: https://doi.org/10.1038/s41592-025-02933-7
