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Retinal Stimulation Modeling Environment
  • Retinal Stimulation Modeling Environment (RSME)
  • Preliminaries
    • Python
    • NEURON
    • Systems Biology Markup Language
    • RSME and Model initialization
  • Model specification
    • Meta-parameters
    • Morphology Description
    • Network Description
    • Visual Stimulation
    • Biophysical Description
  • Visual Stimulation
  • Single SAC model
    • Model Initialization
    • Model Visualization
    • Model Simulation
  • SAC plexus model
    • Before we begin
    • Model Initialization and Visualization
    • Model Simulation
  • SAC-DSGC network
    • Model initialization and visualization
    • Model Simulation
  • Logger
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  1. SAC-DSGC network

Model initialization and visualization

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Last updated 3 years ago

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You can download the XML specifications for this model here:

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:

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()

5KB
SAC-DSGC.zip
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