Neural Population Decoding Analysis

Purpose

This skill encodes expert methodological knowledge for multivariate neural decoding analyses in systems neuroscience. It covers cross-validated classification (MVPA), representational similarity analysis (RSA), temporal generalization, and encoding models. The skill provides domain-specific decision logic, parameter recommendations, and pitfall warnings that a machine-learning engineer without neuroscience training would not know.

When to Use This Skill

• Determining whether stimulus or task information is represented in neural population activity
• Comparing the representational geometry of brain regions to computational models
• Characterizing the temporal dynamics of neural representations from EEG/MEG
• Building encoding models to predict neural responses from stimulus features
• Designing a decoding analysis pipeline and choosing appropriate methods and parameters

Research Planning Protocol

Before executing the domain-specific steps below, you MUST:

1. State the research question — What specific representational or informational question is this decoding analysis addressing?