> For the complete documentation index, see [llms.txt](https://elishai.gitbook.io/retinal-stimulation-modeling-environment/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://elishai.gitbook.io/retinal-stimulation-modeling-environment/sac-dsgc-network/model-initialization-and-visualization.md).

# Model initialization and visualization

You can download the XML specifications for this model here:

{% file src="/files/a3urXAWmhgC0QiuGzvao" %}

Similar to the single SAC example, model Initialization is done using:

```
# Parse model specifications from the meta-parameters XML file
simulation_parameters = SimulationParameters(
    "simulation_parameters/SAC-DSGC_network_meta.xml",
    note = 'SAC-DSGC_network')  

# Use the model specification to initiate a new simulation
simulation = Simulation(simulation_parameters)
```

Plot the modeled network morphology:

```
simulation.plot_morphologies()
```

RSME generates two plots, one for each population. The first population looks like the one shown in the SAC plexus example. The retrieved morphology of the second population is:

![](/files/E1tTrb8e7CioJocFFGKd)

A soma plot and channel distribution visualizations can also be generated, similarly to what was shown in the previous examples. 

In this example, we've generated synapse in accordance with cosine similarity. To aid this task, RSME allows the generation of a directionality plot:

```
simulation.plot_directionality()
```

![](/files/ldHSwsFrMzZrLK8Lgiz1)