Parameter

Parameter(self, value, locality='local', type='float')

Dataclass to represent a parameter in a Neuron or Synapse definition.

neuron = ann.Neuron(
    parameters = dict(

        # Global parameter
        tau = 10.0 # or ann.Parameter(value=10.0, locality='global')

        # Local parameter
        baseline = ann.Parameter(value=ann.Uniform(-1., 1.)),

        # Boolean global parameter
        activated = ann.Parameter(value=True, locality='global', type=bool),
    )
)

In a neuron or synapse model, parameters are global and use the float type if the Parameter class is not used.

If you need a local parameter (one value per neuron or synapse), the Parameter class allows to specify it. Note that you can also define global parameters by passing locality='global'.

Semi-global synaptic parameters (one value per post-synaptic neuron) can be defined using locality='semiglobalglobal'.

If the parameter is an int or a bool, pass it to the type attribute.

Parameters

Name	Type	Description	Default
value	float | int | bool | RandomDistribution	Initial value of the parameter. It can be defined as a RandomDistribution, which will be sampled with the correct shape when the population/projection is created, or a float/int/bool, depending on type.	required
locality	str	Locality of the parameter. Must be in [‘global’, ‘semiglobal’, ‘local’].	'local'
type	str	Data type of the parameter. Must be in [float, int, bool] (or [‘float’, ‘int’, ‘bool’]).	'float'