Transpose
Transpose(self, projection, target, name=None, copied=False, net_id=0)Transposed projection reusing the weights of an already-defined projection.
Even though the original projection can be learnable, this one can not. The computed post-synaptic potential is the default case for rate-coded projections: “w * pre.r”
The proposed target can differ from the target of the forward projection.
Example:
proj_ff = net.connect input, output, target="exc" )
proj_ff.all_to_all(weights=Uniform(0,1)
proj_fb = net.connect(Transpose(proj_ff, target="inh"))
proj_fb.transpose()Parameters
| Name | Type | Description | Default |
|---|---|---|---|
| projection | original projection. | required | |
| target | type of the connection (can differ from the original one). | required |
Methods
| Name | Description |
|---|---|
| save_connectivity | Not available. |
| save | Not available. |
| load | Not available. |
| receptive_fields | Not available. |
| connectivity_matrix | Not available. |
save_connectivity
save_connectivity(filename)Not available.
save
save(filename)Not available.
load
load(filename)Not available.
receptive_fields
receptive_fields(variable='w', in_post_geometry=True)Not available.
connectivity_matrix
connectivity_matrix(fill=0.0)Not available.