CANNs: Continuous Attractor Neural Networks Toolkit

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Authors: Sichao He
Cited by: 0

Abstract

A Python library built on top of the Brain Simulation Ecosystem (brainstate, brainunit) 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.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
9 January 2026