jedi-neural-dynamics-inference
CommunityInfer neural dynamics with embedded RNNs.
Data & Analytics#eigenvalues#neural dynamics#multi-task learning#embedded rnn#task embeddings#dynamics analysis#fixed points
Authorhiyenwong
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Translates the challenge of identifying task-specific neural dynamics from limited, noisy, high-dimensional neural data into a unified, learnable framework.
Core Features & Use Cases
- Task-embedded RNNs: generate task-conditioned weights from learned embeddings.
- Cross-task dynamics analysis: extract eigenvalues, fixed points, and spectral radius to interpret dynamics.
- Multi-task neuroscience modeling: apply to motor cortex data and population dynamics studies.
Quick Start
Provide neural data and a task_id to train the model and start extracting task-specific dynamics.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
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Please help me install this Skill: Name: jedi-neural-dynamics-inference Download link: https://github.com/hiyenwong/ai_collection/archive/main.zip#jedi-neural-dynamics-inference Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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