HBP Neurorobotics Platform
3.2.2
  • Welcome
  • Before you start
  • A quick Introduction to NRP 3.2
  • NRP Features
  • NRP Tutorials
    • The Baseball Experiment Tutorial
    • Using Tensorflow in your experiment Tutorial
    • Virtual Coach Tutorial
    • Multiple robots Tutorial
    • Transfer function Tutorial
      • Tutorial setup
      • Writing a BIBI Configuration
      • Writing a Neuron2Robot TF
      • Writing a Robot2Neuron TF
      • Monitoring neurons
      • Accessing multiple neurons with device groups
      • Executing Transfer Functions outside the simulation loop
      • Throttling a Transfer Function
      • A custom device for reusable image processing
      • Accessing neural network variables to configure Transfer Functions
      • Accessing virtual sensors
      • Variables in Transfer Functions
      • Using TFs specified directly in Python
    • Experiment configuration Tutorial
    • The Spinnaker Experiment Tutorial
    • How to debug my experiment
    • NRP-Opensim muscle modeling tutorial
    • Brain visualizer tutorial
  • NRP Developer Manual
  • NRP Glossary
  • License
HBP Neurorobotics Platform
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Transfer function TutorialΒΆ

  • Tutorial setup
  • Writing a BIBI Configuration
    • Specification of the neuronal network
    • Specification of the robot model
    • Transfer Functions
  • Writing a Neuron2Robot TF
    • A (not so) new TF
    • Connecting to the neuronal network
    • Connecting to the robot
  • Writing a Robot2Neuron TF
    • Eye_sensor_transmit in Python
    • Connecting to the robot simulation
    • Connecting to the neuronal network
  • Monitoring neurons
  • Accessing multiple neurons with device groups
  • Executing Transfer Functions outside the simulation loop
    • Calling Transfer Functions when a new image arrives
    • Multiple triggers
    • Triggers and synchronized execution
  • Throttling a Transfer Function
  • A custom device for reusable image processing
  • Accessing neural network variables to configure Transfer Functions
    • Accessing neural network variables in the body of a Transfer Function
    • Accessing neural network variables to configure Transfer Functions
  • Accessing virtual sensors
  • Variables in Transfer Functions
  • Using TFs specified directly in Python
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