Function py_glif_simulate 

pub(crate) fn py_glif_simulate<'py>(
    py: Python<'py>,
    v0: f64,
    theta0: f64,
    theta_inf: f64,
    i_asc1_0: f64,
    i_asc2_0: f64,
    v_rest: f64,
    v_reset: f64,
    tau_m: f64,
    tau_theta: f64,
    tau_asc1: f64,
    tau_asc2: f64,
    a_theta: f64,
    delta_theta: f64,
    r_asc1: f64,
    r_asc2: f64,
    resistance: f64,
    dt: f64,
    n_steps: usize,
    current: f64,
) -> (Bound<'py, PyArray1<f64>>, i64, f64, f64, f64, f64)

Parity contract with sc_neurocore.neurons.models.glif.GLIFNeuron.simulate: for the same parameters and constant input the returned v trace, total spike count, and final (v, theta, i_asc1, i_asc2) state are bit-identical to the Python RK4 reference. The Allen GLIF5 model has a purely linear right-hand side (no transcendental functions), so every RK4 stage is exact arithmetic and the trace reproduces to the last bit across Rust/Julia/Go (Mojo FMA-fuses, validated non-amplifying).