eISSN 2093-744X
pISSN 1598-2645
pISSN 1598-2645
Hybrid training algorithms
| Algorithm | Neuron model | Architecture | Input encoding | Output decoding | Features |
|---|---|---|---|---|---|
| Rathi et al. (2020, [54]) | ReLU (ANN) | Deep network | Spike train (rate coding) | Direct ouput (membrane potential) | ANN-SNN conv. + STDB; ST-based surrogate gradient |
| DIET-SNN (2020, [55]) | ReLU (ANN) | Deep network | Direct input | Direct output | Trainable leakage and threshold in LIF |
| Takuya et al. (2021, [58]) | ReLU (ANN) | Deep network | Direct input | Direct output (membrane potential) | Knowledge distillation for conv.; fine-tuning |
International Journal of Fuzzy Logic and Intelligent Systems 2021;21:317~337 https://doi.org/10.5391/IJFIS.2021.21.4.317
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