Figure 11. | Demixed principal component analysis of neural population data

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Demixed principal component analysis of neural population data

Figure 11.

Affiliation details

Champalimaud Centre for the Unknown, Portugal; École Normale Supérieure, France; Centre for Integrative Neuroscience, University of Tübingen, Germany; Wake Forest University School of Medicine, United States; Cold Spring Harbor Laboratory, United States; Universidad Nacional Autónoma de México, Mexico; El Colegio Nacional, Mexico; Harvard University, United States
Figure 11.
Download figureOpen in new tabFigure 11. Cross-validation errors depending on the regularization parameter λ.

Each subplot corresponds to one dataset and shows mean (solid lines) and min/max (boundaries of shaded regions) of the relative cross-validation errors for ten repetitions. Different colors refer to different marginalizations (see legend), the minima are marked by dots. Black color shows all marginalizations together, i.e. LCV(λ).

DOI: http://dx.doi.org/10.7554/eLife.10989.016