# Command: sinusoidal_poisson_generator

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Name:

    sinusoidal_poisson_generator - Generates sinusoidally modulated Poisson
      spike trains.

Description:

      sinusoidal_poisson_generator generates sinusoidally modulated Poisson spike
      trains. By default, each target of the generator will receive a different
      spike train.

      The instantaneous rate of the process is given by

      f(t) = max(0, rate + amplitude sin ( 2 pi frequency t + phase * pi/180 ))
      >= 0

Parameters:

      The following parameters can be set in the status dictionary:

      rate	 double	- Mean firing rate in spikes/second, default: 0 s^-1
      amplitude  double	- Firing rate modulation amplitude in spikes/second,
      default: 0 s^-1
      frequency  double	- Modulation frequency in Hz, default: 0 Hz
      phase	 double	- Modulation phase in degree [0-360], default: 0

      individual_spike_trains   bool	- See note below, default: true

Receives:

    DataLoggingRequest

Sends:

    SpikeEvent

Remarks:

     	- If amplitude > rate, firing rate is cut off at zero. In this case, the mean
      firing rate will be less than rate.
     	- The state of the generator is reset on calibration.
     	- The generator does not support precise spike timing.
     	- You can use the multimeter to sample the rate of the generator.
     	- The generator will create different trains if run at different
      temporal resolutions.

     	- Individual spike trains vs single spike train:
      By default, the generator sends a different spike train to each of its
      targets. If /individual_spike_trains is set to false using either
      SetDefaults or CopyModel before a generator node is created, the generator
      will send the same spike train to all of its targets.

Author:

    Hans Ekkehard Plesser

FirstVersion:

    July 2006, Oct 2009, May 2013

SeeAlso:

- poisson_generator
- sinusoidal_gamma_generator

Source:

    /opt/conda/conda-bld/nest_1510212701067/work/nest-2.14.0/models/sinusoidal_poisson_generator.h

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