13/11/2025
New work out today in Nature Methods by a collaborative team including Pedro Gonçalves! 🙌
Introducing , a differentiable simulator that brings biophysically detailed neural models into the realm of large‑scale, machine‑learning‑powered optimization.
➡️ By combining the precision of biophysical models with the scalability of AI methods, JAXLEY overcomes computational barriers that have so far limited the scale of brain simulations.
➡️ This means high‑fidelity neuron models (ion channels, morphologies, synapses) can now be scaled, tuned and understood like never before.
➡️ The toolbox is fully open-source, making it accessible to the entire research community.
Congratulations to Pedro Gonçalves and the entire team in the Macke and Berens labs in Tubingen! 👏
https://doi.org/10.1038/s41592-025-02895-w