Before revision: Here I introduce an extension to demixed principal component analysis (dPCA), a  linear dimensionality reduction technique for analyzing the activity of neural populations, to the case of nonlinear components .
After revision: Here I introduce an extension to demixed principal component analysis (dPCA), a supervised linear dimensionality reduction technique for analyzing the activity of neural populations, to the case of nonlinear components .