brainpy.connect.TwoEndConnector

class brainpy.connect.TwoEndConnector(pre=None, post=None)

Synaptic connector to build connections between two neuron groups.

If users want to customize their Connector, there are two ways:

1. Implementing build_conn(self) function, which returns one of the connection data csr (CSR sparse data, a tuple of <post_ids, inptr>), coo (COO sparse data, a tuple of <pre_ids, post_ids>), or mat (a binary connection matrix). For instance,

   import brainpy as bp
   class MyConnector(bp.conn.TwoEndConnector):
     def build_conn(self):
       return dict(csr=, mat=, coo=)
   

2. Implementing functions build_mat(), build_csr(), and build_coo(). Users can provide all three functions, or one of them.

   import brainpy as bp
   class MyConnector(bp.conn.TwoEndConnector):
     def build_mat(self, ):
       return conn_matrix
   
     def build_csr(self, ):
       return post_ids, inptr
   
     def build_coo(self, ):
       return pre_ids, post_ids
   

__init__(pre=None, post=None)

Methods

__init__([pre, post])
build_conn()	build connections with certain data type.
build_coo()	Build a coo sparse connection data.
build_csr()	Build a csr sparse connection data.
build_mat()	Build a binary matrix connection data.
require(*structures)	Require all the connection data needed.
requires(*structures)	Require all the connection data needed.

Attributes

is_version2_style