Figure 13. | Demixed principal component analysis of neural population data

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Demixed principal component analysis of neural population data

Figure 13.

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 13.
Download figureOpen in new tabFigure 13. Toy example illustrating the pseudo-inverse intuition.

(a) Firing rate trajectories of two neurons for three different stimuli. (b) Same data with dPCA decoding and encoding axes. The encoding axes are approximately equivalent to the axes of the principal components in this case.

DOI: http://dx.doi.org/10.7554/eLife.10989.018