Tutorial

• Lec 1 How to Install BrainCog
  • Install Online
  • Install locally
  • Install datasets (optional)
• Lec 2 Overall Introduction of BrainCog
  • Basic Components of BrainCog
  • Brain-inspired AI models
  • Brain Simulation
• Lec 3 Spiking Neuron Modeling with BrainCog
  • Neuron Simulation in BrainCog
  • Neuron Simulation and Visualization
• Lec 4 Building Efficient Spiking Neural Networks with BrainCog
  • Creating neuron classes
  • Dataset initialization
  • Model Inference and Visualization
• Lec 5 Building Cognitive Networks with BrainCog
  • Introduction
  • Brainarea
  • Import
  • Construction of Models
• Lec 6 Implementing Deep Reinforcement Learning SNNs with BrainCog
  • Basic Modules of BrainCog
  • Membrane potential normalization solves the problem of spike signal disappearance in deep SNN
• Lec 7 Quantum Superposition State Inspired Encoding With BrainCog
  • Spatio-temporal Encoding Inspired by Quantum Superposition State
  • Using Spike Sequence Spatio-temporal Enoding method in QS-SNN model
• Lec 8 Converting ANNs to SNNs with BrainCog
  • source code
  • Reference
• Lec 9 SNNs with Global Feedback Connections Based on BrainCog
• Lec 10 Multi-brain Areas Coordinated Brain-inspired Decision-Making SNNs Based on Braincog
• Lec 11 Backpropagation with Spatiotemporal Adjustment for Training SNNs Based on BrainCog
• Lec 12 Unsupervised STDP Based SNNs with Multiple Adaptive Mechanisms Based on BrainCog
• Lec 13 Symbolic Representation and Reasoning SNNs Based on BrainCog
• Lec 14 Multisensory Integration Based on BrainCog
  • Load Multisensory Dataset
  • Input Encoding
  • The Model
  • Get Multisensory Integrated Outputs
  • How to Run
• Lec 15 SNN-based Music Memory and Generation Based on BrainCog
  • Introduction
  • 1. Music Memory Based On SNN
  • 2. Stylistic Composition Based On SNN
• Lec 16 Brain-inspired Bodily Self-perception Model Based on BrainCog
• Lec 17 A Brain-inspired Theory of Mind Model Based on BrainCog for Reducing Other Agents’ Safety Risks