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SingleExponential#
SingleExponential
surrogate gradient.

import matplotlib.pyplot as plt
import torch
import sinabs.activation as sina
x = torch.linspace(-2, 4, 500)
plt.plot(
x, sina.SingleExponential()(v_mem=x, spike_threshold=1.0), label="SingleExponential"
)
plt.xlabel("Neuron membrane potential")
plt.ylabel("Derivative")
plt.legend()
plt.show()
Total running time of the script: (0 minutes 0.132 seconds)