ppd_sup_generator – Simulate the superimposed spike train of a population of Poisson processes with dead time

Description

The ppd_sup_generator generator simulates the pooled spike train of a population of neurons firing independently with Poisson process with dead time statistics. The rate parameter can also be sine-modulated. The generator does not initialize to equilibrium in this case, initial transients might occur.

All stimulation devices share the parameters start and stop, which control the stimulation period. The property origin is a global offset that shifts the stimulation period. All three values are set as times in ms.

  • For spike-emitting devices, only spikes with times t that fulfill \(\mathrm{start} < t \leq \mathrm{stop}\) are emitted. Spikes that have timestamp of \(t = \mathrm{start}\) are not emitted.

  • For current-emitting devices, the current is activated and deactivated such that the current first affects the target dynamics during the update step \((\mathrm{start}, \mathrm{start}+h]\), that is, an effect can be recorded at the earliest at time \(\mathrm{start}+h\). The last interval during which the current affects the target’s dynamics is \((\textrm{stop}-h, \textrm{stop}]\).

The property stimulus_source defaults to an empty string. It can be set to the name of a stimulation backend, in which case it will take its parameters from the configured backend instead of from the internally stored values. More details on available backends and their properties can be found in the guide to stimulating the network.

Parameters

label

A string specifying an arbitrary textual label for the device. Stimulation backends might use the label to generate device specific identifiers like filenames and such. Default: "".

origin

A positive floating point number used as the reference time in ms for start and stop. Default: 0.0.

start

A positive floating point number specifying the activation time in ms, relative to origin. Default: 0.0.

stimulus_source

A string specifying the name of the stimulation backend from which to get the data for updating the stimulus parameters of the device. By default, the device uses its internally stored parameters for updating the stimulus. Default: "".

stop

A floating point number specifying the deactivation time in ms, relative to origin. The value of stop must be greater than or equal to start. Default: infinity.

rate

Mean firing rate of the component processes, default: 0 spikes/s

dead_time

Minimal time between two spikes of the component processes, default: 0 ms

n_proc

Number of superimposed independent component processes, default: 1

frequency

Rate modulation frequency, default: 0 Hz

relative_amplitude

Relative rate modulation amplitude, default: 0

See also [1].

Set parameters from a stimulation backend

The parameters in this stimulation device can be updated with input coming from a stimulation backend. The data structure used for the update holds one value for each of the parameters mentioned above. The indexing is as follows:

  1. dead_time

  2. rate

  3. n_proc

  4. frequency

  5. relative_amplitude

References

See also

Device, Generator

Examples using this model

None