pygenn.genn_groups.SynapseGroup Class Reference

Class representing synaptic connection between two groups of neurons. More...

Inheritance diagram for pygenn.genn_groups.SynapseGroup:

Public Member Functions
def	__init__ (self, name)
	Init SynapseGroup. More...
def	num_synapses (self)
	Number of synapses in group. More...
def	weight_update_var_size (self)
	Size of each weight update variable. More...
def	max_row_length (self)
def	set_psm_var (self, var_name, values)
	Set values for a postsynaptic model variable. More...
def	set_pre_var (self, var_name, values)
	Set values for a presynaptic variable. More...
def	set_post_var (self, var_name, values)
	Set values for a postsynaptic variable. More...
def	set_weight_update (self, model, param_space, var_space, pre_var_space, post_var_space)
	Set weight update model, its parameters and initial variables. More...
def	set_post_syn (self, model, param_space, var_space)
	Set postsynaptic model, its parameters and initial variables. More...
def	get_var_values (self, var_name)
def	is_connectivity_init_required (self)
def	matrix_type (self)
	Type of the projection matrix. More...
def	matrix_type (self, matrix_type)
def	is_ragged (self)
	Tests whether synaptic connectivity uses Ragged format. More...
def	is_bitmask (self)
	Tests whether synaptic connectivity uses Bitmask format. More...
def	is_dense (self)
	Tests whether synaptic connectivity uses dense format. More...
def	has_individual_synapse_vars (self)
	Tests whether synaptic connectivity has individual weights. More...
def	has_individual_postsynaptic_vars (self)
	Tests whether synaptic connectivity has individual postsynaptic model variables. More...
def	set_sparse_connections (self, pre_indices, post_indices)
	Set ragged foramt connections between two groups of neurons. More...
def	set_connected_populations (self, source, target)
	Set two groups of neurons connected by this SynapseGroup. More...
def	add_to (self, model_spec, delay_steps)
	Add this SynapseGroup to the GeNN NNmodel. More...
def	add_extra_global_param (self, param_name, param_values)
	Add extra global parameter. More...
def	load (self, slm, scalar)
def	reinitialise (self, slm, scalar)
	Reinitialise synapse group. More...
def	__init__ (self, name)
	Init SynapseGroup. More...
def	num_synapses (self)
	Number of synapses in group. More...
def	weight_update_var_size (self)
	Size of each weight update variable. More...
def	max_row_length (self)
def	set_psm_var (self, var_name, values)
	Set values for a postsynaptic model variable. More...
def	set_pre_var (self, var_name, values)
	Set values for a presynaptic variable. More...
def	set_post_var (self, var_name, values)
	Set values for a postsynaptic variable. More...
def	set_weight_update (self, model, param_space, var_space, pre_var_space, post_var_space)
	Set weight update model, its parameters and initial variables. More...
def	set_post_syn (self, model, param_space, var_space)
	Set postsynaptic model, its parameters and initial variables. More...
def	get_var_values (self, var_name)
def	is_connectivity_init_required (self)
def	matrix_type (self)
	Type of the projection matrix. More...
def	matrix_type (self, matrix_type)
def	is_yale (self)
	Tests whether synaptic connectivity uses Yale format. More...
def	is_ragged (self)
	Tests whether synaptic connectivity uses Ragged format. More...
def	is_bitmask (self)
	Tests whether synaptic connectivity uses Bitmask format. More...
def	is_dense (self)
	Tests whether synaptic connectivity uses dense format. More...
def	has_individual_synapse_vars (self)
	Tests whether synaptic connectivity has individual weights. More...
def	has_individual_postsynaptic_vars (self)
	Tests whether synaptic connectivity has individual postsynaptic model variables. More...
def	set_sparse_connections (self, pre_indices, post_indices)
	Set yale or ragged foramt connections between two groups of neurons. More...
def	set_connected_populations (self, source, target)
	Set two groups of neurons connected by this SynapseGroup. More...
def	add_to (self, nn_model, delay_steps)
	Add this SynapseGroup to the GeNN NNmodel. More...
def	add_extra_global_param (self, param_name, param_values)
	Add extra global parameter. More...
def	load (self, slm, scalar)
def	reinitialise (self, slm, scalar)
	Reinitialise synapse group. More...
Public Member Functions inherited from pygenn.genn_groups.Group
def	__init__ (self, name)
	Init Group. More...
def	set_var (self, var_name, values)
	Set values for a Variable. More...
def	__init__ (self, name)
	Init Group. More...
def	set_var (self, var_name, values)
	Set values for a Variable. More...

Public Attributes
	connections_set
	w_update
	postsyn
	src
	trg
	psm_vars
	pre_vars
	post_vars
	connectivity_initialiser
	synapse_order
	ind
	row_lengths
	pop
	indInG
Public Attributes inherited from pygenn.genn_groups.Group
	name
	vars
	extra_global_params

Detailed Description

Class representing synaptic connection between two groups of neurons.

Constructor & Destructor Documentation

__init__() [1/2]

def pygenn.genn_groups.SynapseGroup.__init__	(		self,
			name
	)

Init SynapseGroup.

Parameters

name	string name of the group

__init__() [2/2]

def pygenn.genn_groups.SynapseGroup.__init__	(		self,
			name
	)

Init SynapseGroup.

Parameters

name	string name of the group

Member Function Documentation

add_extra_global_param() [1/2]

def pygenn.genn_groups.SynapseGroup.add_extra_global_param	(		self,
			param_name,
			param_values
	)

Add extra global parameter.

Parameters

param_name	string with the name of the extra global parameter
param_values	iterable or a single value

add_extra_global_param() [2/2]

def pygenn.genn_groups.SynapseGroup.add_extra_global_param	(		self,
			param_name,
			param_values
	)

Add extra global parameter.

Parameters

param_name	string with the name of the extra global parameter
param_values	iterable or a single value

add_to() [1/2]

def pygenn.genn_groups.SynapseGroup.add_to	(		self,
			model_spec,
			delay_steps
	)

Add this SynapseGroup to the GeNN NNmodel.

Parameters

model_spec

GeNN ModelSpec

add_to() [2/2]

def pygenn.genn_groups.SynapseGroup.add_to	(		self,
			nn_model,
			delay_steps
	)

Add this SynapseGroup to the GeNN NNmodel.

Parameters

nn_model

GeNN NNmodel

get_var_values() [1/2]

def pygenn.genn_groups.SynapseGroup.get_var_values	(		self,
			var_name
	)

get_var_values() [2/2]

def pygenn.genn_groups.SynapseGroup.get_var_values	(		self,
			var_name
	)

has_individual_postsynaptic_vars() [1/2]

def pygenn.genn_groups.SynapseGroup.has_individual_postsynaptic_vars

(

self

)

Tests whether synaptic connectivity has individual postsynaptic model variables.

has_individual_postsynaptic_vars() [2/2]

def pygenn.genn_groups.SynapseGroup.has_individual_postsynaptic_vars

(

self

)

Tests whether synaptic connectivity has individual postsynaptic model variables.

has_individual_synapse_vars() [1/2]

def pygenn.genn_groups.SynapseGroup.has_individual_synapse_vars

(

self

)

Tests whether synaptic connectivity has individual weights.

has_individual_synapse_vars() [2/2]

def pygenn.genn_groups.SynapseGroup.has_individual_synapse_vars

(

self

)

Tests whether synaptic connectivity has individual weights.

is_bitmask() [1/2]

def pygenn.genn_groups.SynapseGroup.is_bitmask

(

self

)

Tests whether synaptic connectivity uses Bitmask format.

is_bitmask() [2/2]

def pygenn.genn_groups.SynapseGroup.is_bitmask

(

self

)

Tests whether synaptic connectivity uses Bitmask format.

is_connectivity_init_required() [1/2]

def pygenn.genn_groups.SynapseGroup.is_connectivity_init_required

(

self

)

is_connectivity_init_required() [2/2]

def pygenn.genn_groups.SynapseGroup.is_connectivity_init_required

(

self

)

is_dense() [1/2]

def pygenn.genn_groups.SynapseGroup.is_dense

(

self

)

Tests whether synaptic connectivity uses dense format.

is_dense() [2/2]

def pygenn.genn_groups.SynapseGroup.is_dense

(

self

)

Tests whether synaptic connectivity uses dense format.

is_ragged() [1/2]

def pygenn.genn_groups.SynapseGroup.is_ragged

(

self

)

Tests whether synaptic connectivity uses Ragged format.

is_ragged() [2/2]

def pygenn.genn_groups.SynapseGroup.is_ragged

(

self

)

Tests whether synaptic connectivity uses Ragged format.

is_yale()

def pygenn.genn_groups.SynapseGroup.is_yale

(

self

)

Tests whether synaptic connectivity uses Yale format.

load() [1/2]

def pygenn.genn_groups.SynapseGroup.load	(		self,
			slm,
			scalar
	)

load() [2/2]

def pygenn.genn_groups.SynapseGroup.load	(		self,
			slm,
			scalar
	)

matrix_type() [1/4]

def pygenn.genn_groups.SynapseGroup.matrix_type

(

self

)

Type of the projection matrix.

matrix_type() [2/4]

def pygenn.genn_groups.SynapseGroup.matrix_type	(		self,
			matrix_type
	)

matrix_type() [3/4]

def pygenn.genn_groups.SynapseGroup.matrix_type

(

self

)

Type of the projection matrix.

matrix_type() [4/4]

def pygenn.genn_groups.SynapseGroup.matrix_type	(		self,
			matrix_type
	)

max_row_length() [1/2]

def pygenn.genn_groups.SynapseGroup.max_row_length

(

self

)

max_row_length() [2/2]

def pygenn.genn_groups.SynapseGroup.max_row_length

(

self

)

num_synapses() [1/2]

def pygenn.genn_groups.SynapseGroup.num_synapses

(

self

)

Number of synapses in group.

num_synapses() [2/2]

def pygenn.genn_groups.SynapseGroup.num_synapses

(

self

)

Number of synapses in group.

reinitialise() [1/2]

def pygenn.genn_groups.SynapseGroup.reinitialise	(		self,
			slm,
			scalar
	)

Reinitialise synapse group.

Parameters

slm	SharedLibraryModel instance for acccessing variables
scalar	String specifying "scalar" type

reinitialise() [2/2]

def pygenn.genn_groups.SynapseGroup.reinitialise	(		self,
			slm,
			scalar
	)

Reinitialise synapse group.

Parameters

slm	SharedLibraryModel instance for acccessing variables
scalar	String specifying "scalar" type

set_connected_populations() [1/2]

def pygenn.genn_groups.SynapseGroup.set_connected_populations	(		self,
			source,
			target
	)

Set two groups of neurons connected by this SynapseGroup.

Parameters

source	string name of the presynaptic neuron group
target	string name of the postsynaptic neuron group

set_connected_populations() [2/2]

def pygenn.genn_groups.SynapseGroup.set_connected_populations	(		self,
			source,
			target
	)

Set two groups of neurons connected by this SynapseGroup.

Parameters

source	string name of the presynaptic neuron group
target	string name of the postsynaptic neuron group

set_post_syn() [1/2]

def pygenn.genn_groups.SynapseGroup.set_post_syn	(		self,
			model,
			param_space,
			var_space
	)

Set postsynaptic model, its parameters and initial variables.

Parameters

model	type as string of intance of the model
param_space	dict with model parameters
var_space	dict with model variables

set_post_syn() [2/2]

def pygenn.genn_groups.SynapseGroup.set_post_syn	(		self,
			model,
			param_space,
			var_space
	)

Set postsynaptic model, its parameters and initial variables.

Parameters

model	type as string of intance of the model
param_space	dict with model parameters
var_space	dict with model variables

set_post_var() [1/2]

def pygenn.genn_groups.SynapseGroup.set_post_var	(		self,
			var_name,
			values
	)

Set values for a postsynaptic variable.

Parameters

var_name	string with the name of the presynaptic variable
values	iterable or a single value

set_post_var() [2/2]

def pygenn.genn_groups.SynapseGroup.set_post_var	(		self,
			var_name,
			values
	)

Set values for a postsynaptic variable.

Parameters

var_name	string with the name of the presynaptic variable
values	iterable or a single value

set_pre_var() [1/2]

def pygenn.genn_groups.SynapseGroup.set_pre_var	(		self,
			var_name,
			values
	)

Set values for a presynaptic variable.

Parameters

var_name	string with the name of the presynaptic variable
values	iterable or a single value

set_pre_var() [2/2]

def pygenn.genn_groups.SynapseGroup.set_pre_var	(		self,
			var_name,
			values
	)

Set values for a presynaptic variable.

Parameters

var_name	string with the name of the presynaptic variable
values	iterable or a single value

set_psm_var() [1/2]

def pygenn.genn_groups.SynapseGroup.set_psm_var	(		self,
			var_name,
			values
	)

Set values for a postsynaptic model variable.

Parameters

var_name	string with the name of the postsynaptic model variable
values	iterable or a single value

set_psm_var() [2/2]

def pygenn.genn_groups.SynapseGroup.set_psm_var	(		self,
			var_name,
			values
	)

Set values for a postsynaptic model variable.

Parameters

var_name	string with the name of the postsynaptic model variable
values	iterable or a single value

set_sparse_connections() [1/2]

def pygenn.genn_groups.SynapseGroup.set_sparse_connections	(		self,
			pre_indices,
			post_indices
	)

Set ragged foramt connections between two groups of neurons.

Parameters

pre_indices	ndarray of presynaptic indices
post_indices	ndarray of postsynaptic indices

set_sparse_connections() [2/2]

def pygenn.genn_groups.SynapseGroup.set_sparse_connections	(		self,
			pre_indices,
			post_indices
	)

Set yale or ragged foramt connections between two groups of neurons.

Parameters

pre_indices	ndarray of presynaptic indices
post_indices	ndarray of postsynaptic indices

set_weight_update() [1/2]

def pygenn.genn_groups.SynapseGroup.set_weight_update	(		self,
			model,
			param_space,
			var_space,
			pre_var_space,
			post_var_space
	)

Set weight update model, its parameters and initial variables.

Parameters

model	type as string of intance of the model
param_space	dict with model parameters
var_space	dict with model variables
pre_var_space	dict with model presynaptic variables
post_var_space	dict with model postsynaptic variables

set_weight_update() [2/2]

def pygenn.genn_groups.SynapseGroup.set_weight_update	(		self,
			model,
			param_space,
			var_space,
			pre_var_space,
			post_var_space
	)

Set weight update model, its parameters and initial variables.

Parameters

model	type as string of intance of the model
param_space	dict with model parameters
var_space	dict with model variables
pre_var_space	dict with model presynaptic variables
post_var_space	dict with model postsynaptic variables

weight_update_var_size() [1/2]

def pygenn.genn_groups.SynapseGroup.weight_update_var_size

(

self

)

Size of each weight update variable.

weight_update_var_size() [2/2]

def pygenn.genn_groups.SynapseGroup.weight_update_var_size

(

self

)

Size of each weight update variable.

Member Data Documentation

connections_set

pygenn.genn_groups.SynapseGroup.connections_set

connectivity_initialiser

pygenn.genn_groups.SynapseGroup.connectivity_initialiser

ind

pygenn.genn_groups.SynapseGroup.ind

indInG

pygenn.genn_groups.SynapseGroup.indInG

pop

pygenn.genn_groups.SynapseGroup.pop

post_vars

pygenn.genn_groups.SynapseGroup.post_vars

postsyn

pygenn.genn_groups.SynapseGroup.postsyn

pre_vars

pygenn.genn_groups.SynapseGroup.pre_vars

psm_vars

pygenn.genn_groups.SynapseGroup.psm_vars

row_lengths

pygenn.genn_groups.SynapseGroup.row_lengths

src

pygenn.genn_groups.SynapseGroup.src

synapse_order

pygenn.genn_groups.SynapseGroup.synapse_order

trg

pygenn.genn_groups.SynapseGroup.trg

w_update

pygenn.genn_groups.SynapseGroup.w_update

---

The documentation for this class was generated from the following file:

• build/lib.linux-x86_64-3.6/pygenn/genn_groups.py