brainpy.connect module

Base Connection Classes and Tools

set_default_dtype	Set the default dtype.
mat2coo
mat2csc
mat2csr	convert a dense matrix to (indices, indptr).
csr2csc	Convert csr to csc.
csr2mat	convert (indices, indptr) to a dense matrix.
csr2coo
coo2csr	convert pre_ids, post_ids to (indices, indptr) when'jax_platform_name' = 'gpu'
coo2csc	Convert csr to csc.
coo2mat	convert (indices, indptr) to a dense matrix.
coo2mat_num	convert (indices, indptr) to a dense connection number matrix.
mat2mat_num	Convert boolean matrix to a dense connection number matrix.
visualizeMat	Visualize the matrix.
Connector	Base Synaptic Connector Class.
TwoEndConnector	Synaptic connector to build connections between two neuron groups.
OneEndConnector	Synaptic connector to build synapse connections within a population of neurons.
CONN_MAT	str(object='') -> str str(bytes_or_buffer[, encoding[, errors]]) -> str
PRE_IDS	str(object='') -> str str(bytes_or_buffer[, encoding[, errors]]) -> str
POST_IDS	str(object='') -> str str(bytes_or_buffer[, encoding[, errors]]) -> str
PRE2POST	str(object='') -> str str(bytes_or_buffer[, encoding[, errors]]) -> str
POST2PRE	str(object='') -> str str(bytes_or_buffer[, encoding[, errors]]) -> str
PRE2SYN	str(object='') -> str str(bytes_or_buffer[, encoding[, errors]]) -> str
POST2SYN	str(object='') -> str str(bytes_or_buffer[, encoding[, errors]]) -> str

Custom Connections

MatConn	Connector built from the dense connection matrix.
IJConn	Connector built from the pre_ids and post_ids connections.
CSRConn	Connector built from the CSR sparse connection matrix.
SparseMatConn	Connector built from the sparse connection matrix

Random Connections

FixedProb	Connect the post-synaptic neurons with fixed probability.
FixedPreNum	Connect a fixed number pf pre-synaptic neurons for each post-synaptic neuron.
FixedPostNum	Connect the fixed number of post-synaptic neurons for each pre-synaptic neuron.
FixedTotalNum	Connect the synaptic neurons with fixed total number.
GaussianProb	Builds a Gaussian connectivity pattern within a population of neurons, where the connection probability decay according to the gaussian function.
ProbDist	Connection with a maximum distance under a probability p.
SmallWorld	Build a Watts–Strogatz small-world graph.
ScaleFreeBA	Build a random graph according to the Barabási–Albert preferential attachment model.
ScaleFreeBADual	Build a random graph according to the dual Barabási–Albert preferential attachment model.
PowerLaw	Holme and Kim algorithm for growing graphs with powerlaw degree distribution and approximate average clustering.

Regular Connections

One2One	Connect two neuron groups one by one.
All2All	Connect each neuron in first group to all neurons in the post-synaptic neuron groups.
GridFour	The nearest four neighbors connection method.
GridEight	The nearest eight neighbors conn method.
GridN	The nearest (2*N+1) * (2*N+1) neighbors conn method.
one2one	Connect two neuron groups one by one.
all2all	Connect each neuron in first group to all neurons in the post-synaptic neuron groups.
grid_four	The nearest four neighbors connection method.
grid_eight	The nearest eight neighbors conn method.