Table 3 Axon game
From: Modeling Axonal Plasticity in Artificial Neural Networks
| Symbol | Value |
|---|---|
| Res | 100 × 100 |
| Co-Act | Covariance |
| \(Seed\) | True |
| \({\sigma }_{seed}\) | .1 |
| \({\sigma }_{y}^{diff}\) | 10 |
| \({\sigma }_{\eta }^{diff}\) | 1 |
| \({\alpha }_{N}\) | 500 |
| \({\alpha }_{S}^{0}\) | .001 |
| \({\alpha }_{S}^{1}\) | .5 |
| \({\alpha }_{R}\) | .016 |
| \({\alpha }_{C}\) | 5 |
| \({\alpha }_{global}\) | .3 |
| \({\alpha }_{local}\) | .16 |
| \({\beta }_{s}\) | .1 |
| \(B\) | 114 |
| \(k\) | 200 |
| \({t}_{end}\) | 300 |
| \(E{X}_{0}\) | 4 |
| \(E{X}_{k}\) | .05 |
| \({P}_{0}^{grow}\) | 1 |
| \({P}_{1}^{grow}\) | .4 |