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neural-decoding

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Decoding mental states and stimuli from neural signals — classifiers, cross-validation, and leakage-free evaluation.

skills/neural-decoding/SKILL.md

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## Overview

neural-decoding is the practice of predicting stimuli, decisions, or behavior from measured neural
activity: which image was seen, which choice will be made, where attention is directed. It spans
fMRI MVPA, EEG/MEG classification, and spike-train decoding, and it is one of the most
leakage-prone analyses in neuroscience — most decoding "successes" that don't replicate trace back
to evaluation errors, not brain signals.

This skill is about doing decoding honestly: proper cross-validation, appropriate baselines, and
interpretations that don't outrun the evidence.

## When to use

- MVPA on fMRI: searchlight or ROI-based classification of conditions.