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src/9/m/9ML-0.1.0/nineml/examples/UL/nested_example.py   9ML(Download)
 
inner_exc2all = nineml.Projection(
                    name="Intra-column excitatory connections",
                    source=exc_cells,
                    target=column,
 
inner_inh2all = nineml.Projection(
                    name="Intra-column inhibitory connections",
                    source=inh_cells,
                    target=column,
 
outer_exc2all = nineml.Projection(
                    name="Inter-column excitatory connections",
                    source=columns,
                    target=columns,

src/9/m/9ML-0.1.0/nineml/examples/UL/simple_example.py   9ML(Download)
                                            {'weight': (0.2, "nS"), 'delay': (0.3, "ms")})
 
exc2exc = nineml.Projection("Excitatory cells-Excitatory cells",
                            exc_cells, exc_cells, connection_rule,
                            exc_psr, exc_connection_type)
inh2all = nineml.Projection("Inhibitory connections",

src/p/y/PyNN-HEAD/src/nineml/__init__.py   PyNN(Download)
        synaptic_response, = synaptic_responses
        projection = nineml.Projection(
                                name=self.label,
                                source=self.pre.to_nineml(), # or just pass ref, and then resolve later?
                                target=self.post.to_nineml(),

src/9/m/9ML-0.1.0/test/test_to_resolve/test_roundtripUL.py   9ML(Download)
        {'weight': (0.2, "nS"), 'delay': (0.3, "ms")})
 
    exc2exc = nineml.Projection("Excitatory cells-Excitatory cells",
                                exc_cells, exc_cells, connection_rule,
                                exc_psr, exc_connection_type)
    inh2all = nineml.Projection("Inhibitory connections",
 
    inner_exc2all = nineml.Projection(
        name="Intra-column excitatory connections",
        source=exc_cells,
        target=column,
 
    inner_inh2all = nineml.Projection(
        name="Intra-column inhibitory connections",
        source=inh_cells,
        target=column,
 
    outer_exc2all = nineml.Projection(
        name="Inter-column excitatory connections",
        source=columns,
        target=columns,