Efficient Non-conjugate Gaussian Process Factor Models for Spike Count Data using Polynomial Approximations

Stephen L. Keeley, David M. Zoltowski, Yiyi Yu, Spencer L. Smith, Jonathan W. Pillow

Abstract: Gaussian Process Factor Analysis (GPFA) has been broadly applied to the problem of identifying smooth, low-dimensional temporal structure underlying large-scale neural recordings. However, spike tr...