Figure 12. | Demixed principal component analysis of neural population data

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Demixed principal component analysis of neural population data

Figure 12.

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 12.
Download figureOpen in new tabFigure 12. Cross-validated time-dependent classification accuracies of linear classifiers (black lines) given by the first three stimulus/decision/interaction dPCs (columns) in each dataset (rows).

Shaded gray regions show distribution of classification accuracies expected by chance as estimated by 100 iterations of shuffling procedure.

DOI: http://dx.doi.org/10.7554/eLife.10989.017