Notebooks

• 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
• Research
  • Discrete Principle 3
  • Geometric Decoder Optimization
    • Decoded Function
    • Neuron Model
    • Baseline Decoders
    • Refined Decoders
    • Results
  • Linear System Model Reduction
    • Problem Statement
    • Exact Minimal Realizations
    • Balanced Realizations
    • Approximate Model Order Reduction
    • References
  • Sampling High-Dimensional Vectors
    • Abstract
    • The Number-Theoretic Method (NTM)
    • The Inverse Transform Method
    • Spherical Coordinate Transformation
    • Acknowledgements