| { | |
| "model_type": "spikenaut-snn", | |
| "architectures": ["SpikingNeuralNetwork"], | |
| "n_neurons": 16, | |
| "n_channels": 16, | |
| "neuron_model": "leaky-integrate-and-fire", | |
| "learning_rule": "e-prop+ottt", | |
| "weight_format": "q8.8-fixed-point", | |
| "clock_hz": 1000, | |
| "training_speed_us": 35, | |
| "ipc_overhead_us": 0.8, | |
| "memory_bytes": 1638, | |
| "fpga_power_mw": 97, | |
| "neuromod_version": "0.2.1", | |
| "spikenaut_reward_version": "0.1.0", | |
| "spikenaut_encoder_version": "0.1.0", | |
| "spikenaut_backend_version": "0.1.0", | |
| "spikenaut_fpga_version": "0.1.0", | |
| "framework": "julia-rust-hybrid", | |
| "license": "gpl-3.0" | |
| } | |