Dendrite

core.Dendrite.Dendrite(self, proj, post_rank, idx)

A Dendrite is a sub-group of a Projection, gathering the synapses between the pre-synaptic population and a single post-synaptic neuron.

It can not be created directly, only through a call to Projection.dendrite(rank):

dendrite = proj.dendrite(6)

Attributes

Name	Description
post_rank	Rank of the post-synaptic neuron.
pre_ranks	List of ranks of pre-synaptic neurons.
proj	Parent projection.
size	Number of synapses.
synapses	Iteratively returns the synapses corresponding to this dendrite.

Name	Description
create_synapse	Creates a synapse for this dendrite with the given pre-synaptic neuron.
create_synapses	Creates a synapse for this dendrite with the given pre-synaptic neurons.
get	Returns the value of a variable/parameter.
prune_synapse	Removes the synapse with the given pre-synaptic neuron from the dendrite.
prune_synapses	Removes the synapses which belong to the provided pre-synaptic neurons from the dendrite.
receptive_field	Returns the given variable as a receptive field.
set	Sets the value of a parameter/variable of all synapses.
synapse	Returns the synapse coming from the corresponding presynaptic neuron.

core.Dendrite.Dendrite.create_synapse(rank, w=0.0, delay=0)

Creates a synapse for this dendrite with the given pre-synaptic neuron.

Name	Type	Description	Default
rank	int	rank of the pre-synaptic neuron	required
w	float	synaptic weight.	`0.0`
delay	float	synaptic delay.	`0`

core.Dendrite.Dendrite.create_synapses(ranks, weights=None, delays=None)

Creates a synapse for this dendrite with the given pre-synaptic neurons.

Name	Type	Description	Default
ranks	list[int]	list of ranks of the pre-synaptic neurons.	required
weights	list[float]	list of synaptic weights (default: 0.0).	`None`
delays	list[float]	list of synaptic delays (default = dt).	`None`

core.Dendrite.Dendrite.get(name)

Returns the value of a variable/parameter.

Example:

dendrite.get('w')

Name	Type	Description	Default
name	str	name of the parameter/variable.	required

Name	Type	Description
	float	a single value.

core.Dendrite.Dendrite.prune_synapse(rank)

Removes the synapse with the given pre-synaptic neuron from the dendrite.

Name	Type	Description	Default
rank	int	rank of the pre-synaptic neuron	required

core.Dendrite.Dendrite.prune_synapses(ranks)

Removes the synapses which belong to the provided pre-synaptic neurons from the dendrite.

Name	Type	Description	Default
ranks	list[int]	list of ranks of the pre-synaptic neurons.	required

core.Dendrite.Dendrite.receptive_field(variable='w', fill=0.0)

Returns the given variable as a receptive field.

A Numpy array of the same geometry as the pre-synaptic population is returned. Non-existing synapses are replaced by zeros (or the value fill).

Name	Type	Description	Default
variable	str	name of the variable (default = ‘w’)	`'w'`
fill	float	value to use when a synapse does not exist (default: 0.0).	`0.0`

Name	Type	Description
	np.array	an array.

core.Dendrite.Dendrite.set(value)

Sets the value of a parameter/variable of all synapses.

Example:

dendrite.set( { 'tau' : 20, 'w'= Uniform(0.0, 1.0) } )

Name	Type	Description	Default
value	dict	a dictionary containing the parameter/variable names as keys.	required

core.Dendrite.Dendrite.synapse(pos)

Returns the synapse coming from the corresponding presynaptic neuron.

Name	Type	Description	Default
pos	int \| tuple[int]	can be either the rank or the coordinates of the presynaptic neuron	required

Name	Type	Description
	IndividualSynapse	`IndividualSynapse` wrapper instance.