RLS
rules.RLS.RLS(self, projection, delta=1e-06)Recursive least-squares (RLS) learning rule for FORCE learning.
Parameters
| Name | Type | Description | Default |
|---|---|---|---|
| projection | Projection | projection on which to apply the learning rule. | required |
| delta | float | initial diagonal value of the correlation matrix. | 1e-06 |
Methods
| Name | Description |
|---|---|
| train | Applies one step of the RLS learning rule. |
train
rules.RLS.RLS.train(error)Applies one step of the RLS learning rule.
Parameters
| Name | Type | Description | Default |
|---|---|---|---|
| error | np.ndarray | error vector at the post-synaptic level. | required |