# Command: parrot_neuron_ps

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Name:

    parrot_neuron_ps - Neuron that repeats incoming spikes handling
      precise spike times.

Description:

      The parrot neuron simply emits one spike for every incoming spike.
      An important application is to provide identical poisson spike
      trains to a group of neurons. The poisson_generator sends a different
      spike train to each of its target neurons. By connecting one
      poisson_generator to a parrot_neuron and then that parrot_neuron to
      a group of neurons, all target neurons will receive the same poisson
      spike train.

Receives:

    SpikeEvent

Sends:

    SpikeEvent

Remarks:

     	- Weights on connection to the parrot_neuron are ignored.
     	- Weights on connections from the parrot_neuron are handled as usual.
     	- Delays are honored on incoming and outgoing connections.

      Only spikes arriving on connections to port 0 will be repeated.
      Connections onto port 1 will be accepted, but spikes incoming
      through port 1 will be ignored. This allows setting exact pre-
      and post-synaptic spike times for STDP protocols by connecting
      two parrot neurons spiking at desired times by, e.g., a
      stdp_synapse onto port 1 on the post-synaptic parrot neuron.

      Please note that this node is capable of sending precise spike times
      to target nodes (on-grid spike time plus offset). If this node is
      connected to a spike_detector, the property "precise_times" of the
      spike_detector has to be set to true in order to record the offsets
      in addition to the on-grid spike times.

Author:

    adapted from parrot_neuron by Kunkel

Source:

    /opt/conda/conda-bld/nest_1512421404550/work/nest-2.12.0/precise/parrot_neuron_ps.h

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