The paper releases a unified open-source toolkit with Python models, Rust acceleration, and persistent homology analysis for CANN research that includes pipelines recovering known results on SFA tracking and theta sweeps.
eLife , issn =
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
q-bio.NC 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
CANNs: A Toolkit for Research on Continuous Attractor Neural Networks
The paper releases a unified open-source toolkit with Python models, Rust acceleration, and persistent homology analysis for CANN research that includes pipelines recovering known results on SFA tracking and theta sweeps.