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Simulate with Random Input

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Simulate the LIF neuron with Gaussian input noise and plot V(t).

Your task:
1. Use i_std = 0.5e-11 and np.random.seed(2024)
2. Replace sinusoidal current with:
   i_t = i_mean + i_std * np.random.normal() * np.sqrt(dt)
3. Run full simulation, store t_list and v_list
4. Plot V(t) with threshold line at y=-50 mV

The resulting spike times should look irregular β€” that's the noise!

Hints (only if you're stuck!)

solution.py
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