Dear Johannes,

thanks for your response. 

It is probably that I don't understand something very simple. My problem is that I want to create a network of let's say 100 neurons connected all to all, that gets input from other 10 neurons. Now, from time to time I want to use different 10 neurons (to train different patterns). The question is, how to address which 10 neurons on the chip to take?

In something like this: 

pInput = pynn.Population(10, pynn.SpikeSourceArray, {'spike_times': np.arange(ststart, simtime, ststep)}, label="input") 
pCausal = pynn.Population(100, pynn.IF_facets_hardware1, neuronParams) #Integrate-and-fire model for use with the FACETS hardware
...
connection_method = pynn.AllToAllConnector(weights=7*wemin)
prjCausal = pynn.Projection(pInput, pCausal, method=connection_method, target='excitatory', synapse_dynamics=pynn.SynapseDynamics(slow=stdp_model))

I'm not sure which 10 neurons on the chip it is using and how to pick other 10?

Hope that my questions make sense.

Thanks,
Rolandas

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