Neural Population Decoding Analysis
CommunityDesign and validate neural decoding pipelines.
AuthorHaoxuanLiTHUAI
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Analyze and interpret neural data by applying domain-validated decoding methods, RSA, and encoding models to extract meaningful representational information and dynamics from brain signals.
Core Features & Use Cases
- Cross-validated classification (MVPA) to detect information in neural population activity.
- Representational Similarity Analysis (RSA) to compare brain patterns with model predictions.
- Temporal generalization to characterize the time-evolution of neural codes in EEG/MEG/fMRI.
- Encoding models to predict neural responses from stimulus features and test feature-space representations.
Quick Start
Run a complete neural decoding workflow on your dataset to infer representational structure and dynamics.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
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Please help me install this Skill: Name: Neural Population Decoding Analysis Download link: https://github.com/HaoxuanLiTHUAI/awesome_cognitive_and_neuroscience_skills/archive/main.zip#neural-population-decoding-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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