Neural Mechanism Research

Explain what the computation actually makes possible, how learning discovers it, and how firmly the explanation is established. The reader should be able to reconstruct a small example and predict what would change if the design changed.

This is a neural-computation variant of deep-architecture-research combined with the reporting principles of understanding-first-report. The essential guidance is self-contained here; neither skill has to be loaded again. Use their deeper references only if the task also requires a substantial source-code audit or a separate reporting review.

Start with the real question

Quote the relevant original user wording before substantive analysis. For a long prompt, preserve the central questions and mark omissions. Reconstruct the underlying puzzle, including the user's proposed explanation, rather than replacing it with a generic survey.

Map the few causal relationships that matter. For example: