Identifying signal and noise structure in neural population activity with Gaussian process factor models

no code implementations • NeurIPS 2020 • Stephen Keeley, Mikio Aoi, Yiyi Yu, Spencer Smith, Jonathan W. Pillow

Here we address this shortcoming by proposing ``signal-noise'' Poisson-spiking Gaussian Process Factor Analysis (SNP-GPFA), a flexible latent variable model that resolves signal and noise latent structure in neural population spiking activity.

Variational Inference

Model-based targeted dimensionality reduction for neuronal population data

no code implementations • NeurIPS 2018 • Mikio Aoi, Jonathan W. Pillow

Here we propose a new model-based method for targeted dimensionality reduction based on a probabilistic generative model of the population response data.

Dimensionality Reduction