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LogoPyNN 0.12.3 documentation
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LogoPyNN 0.12.3 documentation
  • Introduction
  • Installation
  • Building networks
  • Injecting current
  • Recording spikes and state variables
  • Data handling
  • Simulation control
  • Model parameters and initial values
  • Random numbers
  • Multicompartmental modelling
  • Backends
  • Running parallel simulations
  • Units
  • Importing from and exporting to other formats
  • Examples
  • Publications about, relating to or using PyNN
  • Contributors, licence and funding
  • Release notes
  • Developers’ guide
    • Bug reports and feature requests
    • Contributing to PyNN
    • Governance
  • API reference
    • Populations, Views and Assemblies
    • Connectors
    • Projections
    • Neuron models
    • Synapse models
    • Current sources
    • Simulation control
    • Random numbers
    • Parameter handling
    • Spatial structure
    • Utility classes and functions
  • Standard models
PyNN 0.12.3 documentation
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Building networks

Building networks¶

  • Building networks: neurons
    • Cell types
    • Populations
    • Views
    • Assemblies
    • Inspecting and modifying parameter values and initial conditions
    • Injecting current into neurons
    • Recording variables and retrieving recorded data
    • Working with individual neurons
  • Building networks: connections
    • Synapse types
    • Connection algorithms
    • Projections
  • Representing spatial structure and calculating distances
  • Multicompartmental modelling
    • Cell types
    • Parameterization
    • Morphologies
    • Projections
    • Connectors

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