Figure 10. | Demixed principal component analysis of neural population data

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Demixed principal component analysis of neural population data

Figure 10.

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 10.
Download figureOpen in new tabFigure 10. Re-stretching (time warping) procedure.

We defined several alignment events (such as odour poke in, odour poke out, etc.) and for each trial found the times ti of these events. After aligning all trials on t1=0 (left) we computed median times Ti for all other events. Then for each trial we re-stretched the firing rate on each interval [ti,ti+1] to align it with [Ti,Ti+1] (right). After such re-stretching, all events are aligned and the trials corresponding to one condition can be averaged.