coding_direction

Binary-condition coding direction.

Use method="coding_direction" to compute a signed axis separating two classes defined by labels.

When to choose this method

Choose coding direction when you want a simple, interpretable discrimination axis between two conditions.

• Produces a direct “difference axis” that is easy to interpret biologically.

• Useful for comparing separation strength over time across sessions/areas.

• Lightweight and fast, making it convenient for repeated analyses.

This method is intentionally simple and binary-focused; it does not model multiclass structure or richer covariance patterns like LDA.

ds = da.ephys.reduce(
    method="coding_direction",
    labels="choice",
)

Notes

• labels is required.

• Optional window can restrict fitting to a specific time range.