Spike Pocket trains a leaky-integrate-and-fire neural classifier with
straight-through surrogate gradients and Poisson rate coding. A conventional
dense network with exactly the same weights and biases is the matched control.
Evaluation includes clean accuracy, Gaussian-noise accuracy, hidden spike rate,
and a synaptic-activity proxy. Spike activity is not presented as measured
hardware power; actual energy depends on a neuromorphic deployment target.… See the full description on the dataset page:
https://huggingface.co/datasets/ARotting/spike-pocket-test.
