Published February 2, 2026
| Version v1.0.0
Software
Open
CANNs: Continuous Attractor Neural Networks Toolkit
Authors/Creators
- 1. School of Psychological and Cognitive Sciences, Peking University, Beijing, China
- 2. Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
- 3. PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
- 4. Center of Quantitative Biology, Peking University, Beijing, China
- 5. College of Mathematics and Statistics, Chongqing University, Chongqing, China
Description
CANNs (Continuous Attractor Neural Networks toolkit) is a research toolkit built on BrainPy and JAX, with optional Rust-accelerated canns-lib for selected performance-critical routines (e.g., TDA/Ripser and task generation). It bundles model collections, task generators, analyzers, and the ASA pipeline (GUI/TUI) so researchers can run simulations and analyze results in a consistent workflow. The API separates models, tasks, analyzers, and trainers to keep experiments modular and extensible.
Notes
If you use this software, please cite it as below.
Files
Routhleck/canns-v1.0.0.zip
Files
(125.4 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:bc264b5bb18392d798f7d6014828dde9
|
125.4 MB | Preview Download |
Additional details
Related works
- Is supplement to
- Software: https://github.com/Routhleck/canns/tree/v1.0.0 (URL)
Software
- Repository URL
- https://github.com/Routhleck/canns