CAPT: A Foundation Model for Calcium Neural Dynamics
Researchers have developed CAPT, a Continuous Autoregressive Population Transformer, to model neural population dynamics from calcium imaging data. The model uses a continuous patch tokenization strategy and autoregressive training to enable cross-dataset and cross-species transfer. Pretrained on a large-scale mouse calcium imaging dataset, CAPT aims to generalize across different experimental paradigms and species, addressing a key gap in existing approaches that are typically task-specific and single-dataset. The work is published on arXiv (2607.23258).
Key facts
- CAPT stands for Continuous Autoregressive Population Transformer.
- It models continuous calcium traces directly via continuous patch tokenization.
- The model is trained autoregressively for end-to-end pretraining.
- It enables cross-dataset and cross-species transfer.
- Pretrained on a large-scale mouse calcium imaging dataset.
- Addresses generalization across experimental paradigms and species.
- Published on arXiv with ID 2607.23258.
- Existing approaches are often designed for specific tasks and single datasets.
Entities
Institutions
- arXiv