Examples

• full-FORCE and “Classic FORCE” learning with spikes
  • Classic FORCE
  • full-FORCE
    • Target-Generating Network
    • Task-Performing Network
  • Results
  • References
• Heterogeneous Synapses
  • Neuron Example
  • Vector Example
  • Multiple Vector Example
• Network Improvements
• Computing Functions Across a Rolling Window of Time
  • 1. Setting up the network
  • 2. Decoding functions from the window
  • 3. Set up probes
  • 4. Simulate the network
  • 5. Plot results
  • Understanding the network
  • Debugging issues in performance
  • References