What Makes an Effective Reservoir in Reservoir Computing

Characterize the properties that make a reservoir effective for reservoir computing, developing rigorous criteria or design principles that go beyond current heuristic guidelines.

Background

The authors connect their thermodynamic machine learning framework to reservoir computing, noting methodological parallels and the potential for thermodynamic principles to guide reservoir design. Despite various heuristics (e.g., operating at the “edge of chaos”), a principled characterization of effective reservoirs remains unresolved.

They explicitly state that identifying what makes a reservoir effective is still an open question in the reservoir computing literature, suggesting their framework may contribute to resolving it.