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  • πŸš€οΈ Quickstart
  • πŸŽ“ NeuroML primer
  • ✨ Beyond NeuroML
    • Extended LEMS paths
    • Custom per-element variability
    • Arbitrary parameters on spatially detailed cells
    • LEMS extension: <VariableRequirement>
    • Extended input-output options
    • NeuroML extension: Multiple flows per neuron
    • LEMS extension: <WritableRequirement>
  • πŸ—ΊοΈ Usage examples
  • 🐍️ Python API
  • πŸ‘·β€β™€οΈ Hacker's guide

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  • Documentation overview
    • Previous: Extending NeuroML with LEMS components
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Beyond NeuroML: EDEN-specific extensionsΒΆ

NeuroML and LEMS support modelling a fairly wide range of sub-system dynamics of interactions, but often these are not enough to capture all the properties that that modellers ask for. EDEN offers a further set of capabilities that can support an even wider variety of model dynamics, while keeping most of the model description within official NeuroML.

  • Extended LEMS paths
    • LEMS paths for cell locations
    • LEMS paths for input list elements
    • LEMS paths for synaptic projection elements
    • LEMS paths for input streams
  • Custom per-element variability
    • The EdenCustomSetup file specification
    • Example: A network with variability over neurons, synapses and probes
  • Arbitrary parameters on spatially detailed cells
    • Sampling the cell’s morphology
    • Variability as distance from a plane
    • Variability as distance from an axle
    • Variability as by distance from a point in space
    • Randomised parameters
    • Aside for NEURON users
  • LEMS extension: <VariableRequirement>
    • Usage
    • Examples
  • Extended input-output options
    • General concepts
    • Extended output
    • Extended input
  • NeuroML extension: Multiple flows per neuron
    • The <DerivedVariable> tag revisited
  • LEMS extension: <WritableRequirement>
    • The <WritableRequirement> tag
 
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  • Extended LEMS paths →
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