Full-Scale Simulation
From morphology-rich single neurons to whole-brain network models — one runtime, every scale.
BrainX enables comprehensive brain simulation across multiple scales and modeling approaches. The platform supports a diverse range of computational models, from detailed single-neuron representations to large-scale network architectures:
- Morphology-based, biophysically detailed neuron models
- Hodgkin–Huxley point-neuron models
- Spiking network models
- Population-level neural mass models
- Whole-brain-scale models
This multi-scale approach lets researchers investigate neural phenomena from molecular mechanisms to systems-level behavior, covering scales that typically require separate tools.
Where it lives in the ecosystem
Detailed cell models live in BrainCell; point neurons and spiking networks in BrainPy; whole-brain mass models in BrainMass. All three sit on top of the same BrainState runtime, so a model can compose freely across scales.