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 > > ######################################################################## > > To unsubscribe from the KIP-SPIKEY-USERS list, click the following link: > http://listserv.uni-heidelberg.de/cgi-bin/wa?TICKET=NzM2MzA0IGJpbGxAS0lQLlVOSS1IRUlERUxCRVJHLkRFIEtJUC1TUElLRVktVVNFUlMgIMqz%2B%2B0gkY3x&c=SIGNOFF > ######################################################################## To unsubscribe from the KIP-SPIKEY-USERS list, click the following link: https://listserv.uni-heidelberg.de/cgi-bin/wa?SUBED1=KIP-SPIKEY-USERS