| { | |
| "experiment": "Surrogate-gradient LIF spiking classifier", | |
| "results": { | |
| "spiking_lif": { | |
| "parameters": 4810, | |
| "best_epoch": 90, | |
| "clean": { | |
| "accuracy": 0.9814814814814815, | |
| "loss": 0.10020709313728192, | |
| "examples": 270, | |
| "mean_hidden_spike_rate": 0.4139985541502635, | |
| "synaptic_activity_proxy": 847.8690388997396 | |
| }, | |
| "gaussian_noise_0.20": { | |
| "accuracy": 0.9074074074074074, | |
| "loss": 0.2934244712193807, | |
| "examples": 270, | |
| "mean_hidden_spike_rate": 0.40773192048072815, | |
| "synaptic_activity_proxy": 835.0349731445312 | |
| } | |
| }, | |
| "matched_dense": { | |
| "parameters": 4810, | |
| "best_epoch": 58, | |
| "clean": { | |
| "accuracy": 0.9740740740740741, | |
| "loss": 0.11060164258987815, | |
| "examples": 270 | |
| }, | |
| "gaussian_noise_0.20": { | |
| "accuracy": 0.9074074074074074, | |
| "loss": 0.2915844806918391, | |
| "examples": 270 | |
| } | |
| } | |
| }, | |
| "activity_boundary": "Spike rate is an activity proxy, not measured hardware energy." | |
| } |