FixedProb#
- class brainpy.connect.FixedProb(prob, pre_ratio=1.0, include_self=True, allow_multi_conn=False, seed=None, **kwargs)[source]#
Connect the post-synaptic neurons with fixed probability.
- Parameters:
prob (float) – The conn probability.
pre_ratio (float) – The ratio of pre-synaptic neurons to connect.
include_self (bool) – Whether create (i, i) conn?
allow_multi_conn (bool) –
Allow one pre-synaptic neuron connects to multiple post-synaptic neurons?
New in version 2.2.3.2.
seed (optional, int) – Seed the random generator.
- build_coo()[source]#
Build a coo sparse connection data.
- Returns:
conn – A tuple denoting the
(pre_ids, post_ids).- Return type:
- build_csr()[source]#
Build a csr sparse connection data.
- Returns:
conn – A tuple denoting the
(indices, indptr).- Return type:
- build_mat()[source]#
Build a binary matrix connection data.
If users want to customize their connections, please provide one of the following functions:
build_mat(): build a matrix binary connection matrix.build_csr(): build a csr sparse connection data.build_coo(): build a coo sparse connection data.build_conn(): deprecated.
- Returns:
conn – A binary matrix with the shape
(num_pre, num_post).- Return type: