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Nicolay,

I avoid the problem by copying the synapse model to a new one. That is, the following code works fine for me. It is a bit convoluted to perform a copy and a rename for every connection.

Thanks a lot in advance!

Xavier

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import nest

pos = nest.spatial.grid(shape = [3,3] )
input = nest.Create('iaf_psc_alpha', positions=pos)

layer_0 = nest.Create('iaf_psc_alpha', positions=pos)
layer_1 = nest.Create('iaf_psc_alpha', positions=pos)

conn_neur = {'rule':'pairwise_bernoulli', 'use_on_source': True, 'mask': {'grid':{'shape':[3,3]}} }

nest.CopyModel('static_synapse', 'syn_1_model')
syn_0 = {'synapse_model': 'static_synapse'}
syn_1 = {'synapse_model': 'syn_1_model'}

nest.Connect(input, layer_0, conn_neur, syn_0)
nest.Connect(input, layer_1, conn_neur, syn_1)

nest.DumpLayerConnections(input, layer_0, 'static_synapse', 'conn.txt')
nest.DumpLayerConnections(input, layer_1, 'syn_1_model', 'conn.txt')
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