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_1510212701067/work/nest-2.14.0/precise/parrot_neuron_ps.h