Learning a latent manifold of odor representations from neural responses in piriform cortex

no code implementations • NeurIPS 2018 • Anqi Wu, Stan Pashkovski, Sandeep R. Datta, Jonathan W. Pillow

Our approach is based on the Gaussian process latent variable model, and seeks to map odorants to points in a low-dimensional embedding space, where distances between points in the embedding space relate to the similarity of population responses they elicit.