Tutorials

NRV is designed to be accessible to a user with a limited knowledge of python. NRV API contains classes describing object that compose a global context of neural stimulation and recording. Here are some material, with extensive description of step by step how-to, to help you to start with NRV:

• Tutorial 1 - First steps into NRV: a simple axon
  • Context
  • Axon declaration
  • Setting up the stimulation
  • Simulating everything
  • Postprocessing and few comments
• Tutorial 2 - Evaluation of propagation velocity with NRV
  • Context
  • Measuring Propagation Velocity of an unmyelinated fibers
  • Measuring Propagation Velocity of a myelinated fibers
  • Velocity-diameter relationship
  • Effect of model on Velocity-diameter relationship
• Tutorial 3 - Stimulating single fibers with NRV
  • Axon definition
  • Extracellular context Creation
  • Connecting the FEM model to the axon and simulating it:
  • Stimulation threshold curves
• Tutorial 4 - Stimulating nerves with NRV
  • Nerve creation
  • Populate fascicles with axons
  • Extracellular stimulation context
    • Adding intracellular electrodes
  • Recruitment curves with LIFEs
  • Recruitment curves with a monopolar cuff-like electrode
• Tutorial 5 - First optimization problem using NRV
  • First optimization: Pulse Stimulus on Single axon
    • Cost function
      • Static context
      • Context modifier
      • Cost Evaluation
    • Optimization problem
  • Second optimization spline interpolated stimulus

Further code with fewer comments is available in the Example section.