Training ideas

Entropy-Gated Surrogate Slopes

Adapt the slope of each spiking neuron's surrogate derivative using the normalized entropy of its block's attention distribution. High centered entropy uncertainty increases the slope, while low uncertainty decreases it, and a dead zone holds the default slope fixed for ordinary fluctuations. The adaptation exists only in backpropagation, so the forward spike function, parameter count, and inference cost remain unchanged.