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npx versuz@latest install hiyenwong-ai-collection-collection-skills-calcium-imaging-foundation-modelgit clone https://github.com/hiyenwong/ai_collection.gitcp ai_collection/SKILL.MD ~/.claude/skills/hiyenwong-ai-collection-collection-skills-calcium-imaging-foundation-model/SKILL.md---
name: calcium-imaging-foundation-model
description: "Self-supervised foundation model for calcium imaging population dynamics analysis. Activation: neuroscience, calcium-imaging, foundation-model."
version: 1.0.0
author: Research Synthesis
license: MIT
metadata:
hermes:
tags: ['neuroscience', 'calcium-imaging', 'foundation-model', 'self-supervised', 'population-dynamics']
source_paper: "Self-Supervised Foundation Model for Calcium-imaging Population Dynamics (arXiv:2604.04958v2)"
citations: 0
published: "2026-04-03"
category: neuroscience
---
# Self-Supervised Foundation Model for Calcium-imaging Population Dynamics
## Overview
Recent work suggests that large-scale, multi-animal modeling can significantly improve neural recording analysis. However, for functional calcium traces, existing approaches remain task-specific, limiting transfer across common neuroscience objectives. To address this challenge, we propose \textbf{CalM}, a self-supervised neural foundation model trained solely on neuronal calcium traces and adaptable to multiple downstream tasks, including forecasting and decoding. Our key contribution is a pretraining framework, composed of a high-performance tokenizer mapping single-neuron traces into a shared discrete vocabulary, and a dual-axis autoregressive transformer modeling dependencies along both the neural and the temporal axis. We evaluate CalM on a large-scale, multi-animal, multi-session dat
## Source Paper
- **Title**: Self-Supervised Foundation Model for Calcium-imaging Population Dynamics
- **Authors**: Xinhong Xu, Yimeng Zhang, Qichen Qian, Yuanlong Zhang
- **arXiv**: [2604.04958v2](https://arxiv.org/abs/2604.04958v2)
- **Published**: 2026-04-03
- **Category**: neuroscience
## Key Concepts
- Research methodology and approach
- Theoretical framework
- Practical applications
- Implementation details
## Applications
- Neuroscience research
- Brain-computer interfaces
- Neural signal processing
- Computational modeling
## References
- [Self-Supervised Foundation Model for Calcium-imaging Population Dynamics](https://arxiv.org/abs/2604.04958v2)
## Related Topics
- Neuroscience
- Brain networks
- Neural dynamics
- Computational neuroscience
---
_Last updated: 2026-04-03_