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Evolutionary optimization of liquid neural networks

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evolving-ncps

Goal: implement NeuroEvolution of Augmenting Topologies (NEAT) to evolve Neural Circuit Policies (NCPs) and apply to electroencephalogram (EEG) signal analysis.

TODO list:

  • Neural Circuit Policies
    • Differential equation solver
    • Weight constraints
    • Wirings
  • NeuroEvolution of Augmenting Topologies
    • Genotype to phenotype mapping
    • Fitness function
    • Reproduction
      • Compute number of offscreen per individual
      • Crossover operator
      • Mutation operator
    • Speciation
      • Genetic distance
      • Greedy algorithm for constructing species
      • Species stagnation
  • EEG signal analysis
    • Identity and load appropriate dataset
    • Tune hyperparameters
    • Develop interpretability techniques

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