SNS-Toolbox
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Contents:

  • Getting Started
  • Building Networks
  • Compiling and Simulating Networks
  • Rendering Networks
  • Saving and Loading Networks
  • Running Networks on the GPU
  • Neural Models
  • Connection Models
  • Tutorial 1: Designing Networks
  • Tutorial 2: Simulating Networks
  • Tutorial 3: Spiking Networks
  • Tutorial 4: Adding Subnetworks
  • Tutorial 5: Spiking Networks with Synaptic Transmission Delay
  • Tutorial 6: Using Connectivity Patterns
  • Tutorial 7: Electrical Synapses
  • Tutorial 8: Neurons with Voltage-gated Ion Channels
  • Tutorial 9: Advanced Spiking
  • API Reference
SNS-Toolbox
  • SNS-Toolbox
  • Edit on GitHub

SNS-Toolbox

Welcome to the documentation for SNS-Toolbox, a Python package for the large-scale efficient simulation of Synthetic Nervous Systems (SNS).

Contents:

  • Getting Started
  • Building Networks
  • Compiling and Simulating Networks
  • Rendering Networks
  • Saving and Loading Networks
  • Running Networks on the GPU
  • Neural Models
  • Connection Models
  • Tutorial 1: Designing Networks
  • Tutorial 2: Simulating Networks
  • Tutorial 3: Spiking Networks
  • Tutorial 4: Adding Subnetworks
  • Tutorial 5: Spiking Networks with Synaptic Transmission Delay
  • Tutorial 6: Using Connectivity Patterns
  • Tutorial 7: Electrical Synapses
  • Tutorial 8: Neurons with Voltage-gated Ion Channels
  • Tutorial 9: Advanced Spiking
  • API Reference

Indices:

  • Index

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© Copyright 2023, William Nourse. Revision 46d652e9.

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