CANNs: Continuous Attractor Neural Networks Toolkit

A Python library built on top of brainpy with performance-critical modules accelerated by a dedicated Rust backend (canns-lib) that streamlines experimentation with continuous attractor neural networks and related brain-inspired models. It delivers ready-to-use models, task generators, analysis tools, and pipelines so neuroscience and AI researchers can move from ideas to reproducible simulations quickly.