Author response: Evolving interpretable plasticity for spiking networks
Jakob Jordan, Maximilian Schmidt, Walter Senn, Mihai Alexandru Petrovici · 2021
Artificial evolution discovers biophysically plausible plasticity rules for spiking networks that perform competitively with and even outperform labor-intensive human-designed models in various learning scenarios, while providing new views on experimental data.