Izhikevich ​
A point-neuron model for the brian2 backend based on the Izhikevich formulation. It captures a wide range of spiking behaviors with a two-dimensional system (membrane potential $v$ and recovery variable $u$).
python
from livn.models.izhikevich import Izhikevich
model = Izhikevich()Cell types ​
- Excitatory cells: Regular spiking with randomized recovery parameters
- Inhibitory cells: Fast spiking behavior with parameter variation
Background noise ​
Noise is implemented as Gaussian current injection at 1 ms intervals:
- Excitatory population: 5 pA amplitude
- Inhibitory population: 2 pA amplitude