parrot_neuron


Name:
parrot_neuron - Neuron that repeats incoming spikes.
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.

Parameters:
 
No parameters to be set in the status dictionary.

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.

Author:
David Reichert, Abigail Morrison, Alexander Seeholzer, Hans Ekkehard  
Plesser
FirstVersion:
May 2006 
Source:
/home/graber/work-nest/nest-git/nest-simulator/models/parrot_neuron.h