Research map / Architectures and efficiency / RNNs and normalization
Learning Nonlinear Dynamics in Efficient, Balanced Spiking Networks Using Local Plasticity Rules
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| increase network size from 50 to 200 neurons (higher expansion ratio) (ablation) | EBN walking network · MOCAP walking | firing rate / spiking irregularity / reconstruction | Helped |
| silence 70% of neurons for about one second (ablation) | EBN walking network · MOCAP walking | walking performance | No clear effect |
| use diagonal M instead of random M for dendritic nonlinearity (ablation) | EBN walking network · MOCAP walking | learnability | No clear effect |
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