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Cross-validation and sensitivity.

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posted on 2015-04-28, 03:26 authored by Simon Sponberg, Thomas L. Daniel, Adrienne L. Fairhall

To combine reconstruction performance into a single error metric we normalized the RMS of the error for each decile (averaged across animals) to the RMSE of the two feature reconstruction (*** indicates P<0.001 for all paired conditions). In addition to the standard reconstruction (A) we repeated the feature extraction and model testing with Δt included in the original U matrix (B) and with the phase-triggered rather than spike-triggered torque waveforms (C). Finally, we cross-validated (D) the reconstructions performing 1000 replicates with 70% of the wingstrokes as a training set and 30% withheld for a test set. Model abbreviations: 2F—two features, SΔt—differential synergy, SPC—empirical (PCA) synergy, R—redundancy, I—independence, S< τ > mean torque differential synergy, I< τ >—mean torque independence.