Monkey Learning

Born To Learn: The Inspiration, Progress, And Future Of Evolved Plastic Artificial Neural Networks

Brain-Inspired Global-Local Learning Incorporated With Neuromorphic Computing

Brain-Inspired Replay For Continual Learning With Artificial Neural Networks

Discovering Reinforcement Learning Algorithms

Evolving And Merging Hebbian Learning Rules: Increasing Generalization By Decreasing The Number Of Rules

Meta Learning Backpropagation And Improving It

Meta-Learning Biologically Plausible Plasticity Rules With Random Feedback Pathways

Meta-Learning Three-Factor Plasticity Rules For Structured Credit Assignment With Sparse Feedback

Tess: A Scalable Temporally And Spatially Loca Learning Rule For Spiking Neural Networks

Three Factor Learning Rules

Three-Factor Learning In Spiking Neural Networks: An Overview Of Methods And Trends From A Machine Learning Perspective