Reservoir Computing

This page contains all content related to Reservoir Computing research, an innovative approach to machine learning using dynamical systems.

Research Focus

• Performance-driven Evolution: Developing networks that evolve to optimize computational performance
• Network Pruning: Identifying and removing unnecessary nodes while maintaining or improving performance
• Bio-inspired Architectures: Creating reservoir computers inspired by biological neural networks
• Structural Optimization: Understanding the relationship between network structure and computational function

Browse the content below to explore publications, projects, and collaborations in reservoir computing.