Dear Rolandas,

I guess that the pyNN object you are looking for is

   pynn.SpikeSourceArray

Please refer to the pynn documentation for more details: 
http://neuralensemble.org/trac/PyNN/wiki/API-0.6

As an example, here is the pivotal line of Python code that worked for 
me with Spikey:

   import pyNN.hardware.spikey as pynn
   stim = pynn.Population(1, pynn.SpikeSourceArray, 
cellparams=dict(spike_times=[80., 100.]))

Now you can connect the stim-Population to target neurons just like any 
other neuronal population. For a stim-population size > 1, all spike 
sources will share the same spike_times (given in ms).

Does this solve your question?

Best regards,
Johannes


On 11/06/2016 09:46 PM, SUBSCRIBE KIP-SPIKEY-USERS Anonymous wrote:
> Hello,
>
> I don't quite understand how addressing of specific neurons in Spikey works. In BRIAN I'd pick some neurons that I want to generate spikes, then define times of spikes and feed this into spike generator:
>
> nrn_ind = [1, 3, 4, 7, 5, 2] #Indexes of neurons that I want to spike
> nrn_t = [4.4, 22.6, 30.4, 55, 62, 100]  #Spiking times
> input = SpikeGeneratorGroup(6, nrn_ind, nrn_t*ms) # Generate input
>
> How should I do the same in Spikey?
>
> Thanks,
> Rolandas
>
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