PoissonInput class

(Shortest import: from brian2 import PoissonInput)

class brian2.input.poissoninput.PoissonInput(target, target_var, N, rate, weight, when='synapses', order=0)[source]

Bases: brian2.groups.group.CodeRunner

Adds independent Poisson input to a target variable of a Group. For large numbers of inputs, this is much more efficient than creating a PoissonGroup. The synaptic events are generated randomly during the simulation and are not preloaded and stored in memory. All the inputs must target the same variable, have the same frequency and same synaptic weight. All neurons in the target Group receive independent realizations of Poisson spike trains.

Parameters:

target : Group

The group that is targeted by this input.

target_var : str

The variable of target that is targeted by this input.

N : int

The number of inputs

rate : Quantity

The rate of each of the inputs

weight : str or Quantity

Either a string expression (that can be interpreted in the context of target) or a Quantity that will be added for every event to the target_var of target. The unit has to match the unit of target_var

when : str, optional

When to update the target variable during a time step. Defaults to the synapses scheduling slot.

order : int, optional

The priority of of the update compared to other operations occurring at the same time step and in the same scheduling slot. Defaults to 0.

Methods

before_run([run_namespace, level])

Details

before_run(run_namespace=None, level=0)[source]

Tutorials and examples using this