FitzHugh-Nagumo
Two-field nonlinear neuron model. Recovers timescale ε from a partially observed voltage trace.
Problem
Two fields (v, w), one learnable parameter (ε):
\[
\dot{v} = v - \frac{v^3}{3} - w + I_{\text{ext}}, \qquad
\dot{w} = \varepsilon(v + a - bw)
\]
Features Demonstrated
- Partial observability (only voltage is observed)
- Scalar
Parameterrecovery - Neural excitation dynamics
Results
