sparse_delays_from_weights

sparse_delays_from_weights(weights, delays)

Returns a sparse delay matrix with the same connectivity as the sparse matrix weight_matrix.

matrix = sparse_random_matrix(pre=pop1, post=pop2, p=0.1, w=ann.Uniform(0.0, 1.0))
delays = sparse_delays_from_weights(matrix, ann.Uniform(5.0, 10.0))
proj.from_sparse(matrix, delays)

Parameters

Name	Type	Description	Default
weights	scipy.sparse.lil_matrix	scipy sparse matrix to use for the connectivity.	required
delays	float | RandomDistribution	delay value (constant or random).	required