Possibility to perform simulations using weights learned from FORCE

[dmnburrows]

Possibility to perform simulations using weights learned from FORCE

[lubin-liu]

One can access the recurrent weights of a layer via esn_layer.recurrent_kernel. With tensorflow tensors you cannot do slice assignments like with numpy, so to modify the weights you would have to use esn_layer.recurrent_kernel.assign(...) with a new tensor of the same shape containing the modified weights (see docs tf.Variable.assign, note that this modifies the tensor in memory so you will lose your original weights). Then, you can run forward pass with force_model.predict(...) to get the output with the new weights. Be careful not to re-assign the weights using esn_layer.recurrent_kernel = .... which will decouple the weights used in the forward pass and training.

[dmnburrows]

Great, thanks! This seems to work